SlideShare a Scribd company logo
1 of 56
13 - 1
8/11/2022
Process Engineering
IE550 -- Manufacturing Systems
Fall 2008
Dr. R. A. Wysk
13 - 2
8/11/2022
Chapter 6. PROCESS ENGINEERING
• Process planning is also called: manufacturing planning, process
planning, material processing, process engineering, and machine
routing.
• Which machining processes and parameters are to be used (as well
as those machines capable of performing these processes) to
convert (machine) a piece part from its initial form to a final form
predetermined (usually by a design engineer) from an engineering
drawing.
• The act of preparing detailed work instructions to produce a part.
• How to realize a given product design.
13 - 3
8/11/2022
PRODUCT REALIZATION
Product design
Process planning
Operation programming
Verification
Scheduling
Execution
Process,
machine
knowledge
Scheduling
knowledge
13 - 4
8/11/2022
PROCESS PLANNING
Design Machine
Tool
Scheduling and Production Control
Process
Planning
13 - 5
8/11/2022
PROBLEMS FACING
MANUFACTURING INDUSTRY
Fact:
Only 11% of the machine tools in the U.S. are programmable.
More than 53% of the metal-working plants in the U.S. do not have
even one computer-controlled machine.
Some problems:
Cannot justify the cost
Lack of expertise in using such machines
Too small a batch size to offset the planning and programming costs
Source: Kelley, M.R. and Brooks, H., The State of Computerized Automation in US Manufacturing, J.F.
Kennedy School of Government, Harvard University, October 1988.
Potential benefits in reducing turnaround time by using
programmable machine tools have not been realized due to time,
complexity and costs of planning and programming.
13 - 6
8/11/2022
DOMAIN
One-of-a-kind and Small batch
Objectives: Lead-time, Cost
Approaches: process selection, use
existing facilities.
Mass production
Objective: Cost
Approaches: process design, optimization,
materials selection, facilities
design
13 - 7
8/11/2022
How do we process engineer?
• How can we make it?
• How much does it cost?
• How long will it take us to complete it?
• How reliable will it be?
• How can we recycle it
13 - 8
8/11/2022
How can we make it?
• Is this like something else that we’ve done?
– Yes; What methods were used?
– No; Design a new process
13 - 9
8/11/2022
What methods were used?
• Machining methods
• Pressworking
• Welding/fabrication
• Casting
• Powder materials
• Layered deposition
• Others
13 - 10
8/11/2022
Welding/fabrication:
Additive techniques
Initial
Stock
Weld
Add-on
Weld
Add-on
Final Product
13 - 11
8/11/2022
Machining Methods:
Subtractive techniques
Initial
Stock
Slotting Drilling
Final Product
13 - 12
8/11/2022
Casting:
Form Methods
13 - 13
8/11/2022
ENGINEERING DESIGN MODELING
10"+0.01
-0.01
1'-4"+0.01
-0.01
4" +0.01
-0.01
7" +0.05
-0.05
5" +0.01
-0.01
3" +0.01
-0.01
2" +0.01
-0.01 0.001 A B
A
B
S.F. 64 u inch
U*
- *
CSG MODEL
Fa c e
Lo o p
Ed g e
V e rt e x
B-REP MODEL
13 - 14
8/11/2022
INTERACTION OF
PLANNING FUNCTIONS
GEOMETRIC REASONING
PROCESS SELECTION
CUTTER SELECTION
MACHINE TOOL SELECTION
SETUP PLANNING
FIXTURE PLANNING
CUTTER PATH GENERATION
• global & local geometry
• process capability
• process cost
• available tools
• tool dimension and geometry
• geometric constraints
• machine availability, cost
• machine capability
• feature relationship
• approach directions
• process constraints
• fixture constraints
• fixture element function
• locating, supporting, and
clamping surfaces
• stability
• feature merging and split
• path optimization
• obstacle and interference
avoidance
13 - 15
8/11/2022
PROCESS PLAN
• Also called : operation sheet, route sheet, operation planning
summary, or another similar name.
• The detailed plan contains:
route
processes
process parameters
machine and tool selections
fixtures
• How detail the plan is depends on the application.
• Operation: a process
• Operation Plan (Op-plan): contains the description of an operation,
includes tools, machines to be used, process parameters,
machining time, etc.
• Op-plan sequence: Summary of a process plan.
13 - 16
8/11/2022
EXAMPLE PROCESS PLANS
Route Sheet
Part No. S1243
Part Name: Mounting Bracket
1. MtlRm
2. Mill02 5
3. Drl01 4
4. Insp 1
workstation Time(min)
by: T.C. Chang
PROCESS PLAN ACE Inc.
Part No. S0125-F
Part Name: Housing
Original: S.D. Smart Date: 1/1/89
Checked: C.S. Good Date: 2/1/89
Material: steel 4340Si
Changes: Date:
Approved: T.C. Chang Date: 2/14/89
No. Operation
Description
Workstation Setup Tool Time
(Min)
10 Mill bottom surface1 MILL01 see attach#1
for illustration
Face mill
6 teeth/4" dia
3 setup
5 machining
20 Mill top surface MILL01 see attach#1 Face mill
6 teeth/4" dia
2 setup
6 machining
30 Drill 4 holes DRL02 set on surface1 twist drill
1/2" dia
2" long
2 setup
3 machining
Detailed Process Plan
Oper. Routing Summary
13 - 17
8/11/2022
FACTORS AFFECTING PROCESS
PLAN SELECTION
• Shape
• Tolerance
• Surface finish
• Size
• Material type
• Quantity
• Value of the product
• Urgency
• Manufacturing system itself
• etc.
13 - 18
8/11/2022
PROCESS PLANNING CLASSIFICATION
MANUAL
COMPUTER-AIDED
VARIANT
GT based
Computer aids for editing
Parameters selection
GENERATIVE
Some kind of decision logic
Decision tree/table
Artificial Intelligence
Objective-Oriented
Still experience based
AUTOMATIC
Design understanding
Geometric reasoning capability
13 - 19
8/11/2022
REQUIREMENTS IN
MANUAL PROCESS PLANNING
• ability to interpret an engineering drawing.
• familiar with manufacturing processes and
practice.
• familiar with tooling and fixtures.
• know what resources are available in the shop.
• know how to use reference books, such as
machinability data handbook.
• able to do computations on machining time and
cost.
• familiar with the raw materials.
• know the relative costs of processes, tooling, and
raw materials.
13 - 20
8/11/2022
INDUSTRIAL SOLUTION
1 0 "+ 0 .0 1
-0 .0 1
1 ' -4 "+ 0 .0 1
-0 .0 1
4 " + 0 .0 1
-0 .0 1
7 " + 0 .0 5
-0 .0 5
5 " + 0 .0 1
-0 .0 1
3 " + 0 .0 1
-0 .0 1
2 " + 0 .0 1
-0 .0 1 0 .0 0 1 A B
A
B
S.F. 64 u inch
PRODUCT
CONCEPT
CAD
CAM
CUTTER
PATH
HUMAN - decision making
COMPUTER - geometric computation, data handling
N0010 G70 G 90 T08 M06
N0020 G00 X2.125 Y-0.475 Z4.000 S3157
N0030 G01 Z1.500 F63 M03
N0040 G01 Y4.100
N0050 G01 X2.625
N0060 G01 Y1.375
N0070 G01 X3.000
N0080 G03 Y2.625 I3.000 J2.000
N0090 G01 Y2.000
N0100 G01 X2.625
N0110 G01 Y-0.100
N0120 G00 Z4.000 T02 M05
N0130 F9.16 S509 M06
N0140 G81 X0.750 Y1.000 Z-0.1 R2.100 M03
N0150 G81 X0.750 Y3.000 Z-0.1 R2.100
N0160 G00 X-1.000 Y-1.000 M30
.
Hand bo o k
13 - 21
8/11/2022
PROCESS PLANNING STEPS
• Study the overall shape of the part. Use this
information to classify the part and determine the type
of workstation needed.
• Thoroughly study the drawing. Try to identify every
manufacturing features and notes.
• If raw stock is not given, determine the best raw
material shape to use.
• Identify datum surfaces. Use information on datum
surfaces to determine the setups.
• Select machines for each setup.
• For each setup determine the rough sequence of
operations necessary to create all the features.
13 - 22
8/11/2022
PROCESS PLANNING STEPS
(continue)
• Sequence the operations determined in the
previous step.
• Select tools for each operation. Try to use the same
tool for several operations if it is possible. Keep in
mind the trade off on tool change time and
estimated machining time.
• Select or design fixtures for each setup.
• Evaluate the plan generate thus far and make
necessary modifications.
• Select cutting parameters for each operation.
• Prepare the final process plan document.
13 - 23
8/11/2022
COMPUTER-AIDED
PROCESS PLANNING
ADVANTAGES
1. It can reduce the skill required of a planner.
2. It can reduce the process planning time.
3. It can reduce both process planning and
manufacturing cost.
4. It can create more consistent plans.
5. It can produce more accurate plans.
6. It can increase productivity.
13 - 24
8/11/2022
WHY AUTOMATED
PROCESS PLANNING
• Shortening the lead-time
• Manufacturability feedback
• Lowering the production cost
• Consistent process plans
13 - 25
8/11/2022
PROCESS PLANNING
Machining features
Design
Workpiece Selection
Process Selection
Tool Selection
Feed, Speed Selection
Operation Sequencing
Setup Planning
Fixturing Planning
Part Programming
13 - 26
8/11/2022
VARIANT PROCESS PLANNING
Standard
process
plans &
individual
process
plans
process
plan
editing
part
coding
part
family
formation
standard
plan
preparation
part
coding
part
family
search
process
plan
retrieval
finished
process
plan
GROUP TECHNOLOGY BASED RETRIEVAL SYSTEM
13 - 27
8/11/2022
PROBLEMS ASSOCIATED WITH
THE VARIANT APPROACH
1. The components to be planned are limited to
similar components previously planned.
2. Experienced process planners are still
required to modify the standard plan for the
specific component.
3. Details of the plan cannot be generated.
4. Variant planning cannot be used in an
entirely automated manufacturing system,
without additional process planning.
13 - 28
8/11/2022
ADVANTAGES OF THE
VARIANT APPROACH
1. Once a standard plan has been written, a variety
of components can be planned.
2. Comparatively simple programming and
installation (compared with generative systems)
is required to implement a planning system.
3. The system is understandable, and the planner
has control of the final plan.
4. It is easy to learn, and easy to use.
13 - 29
8/11/2022
GENERATIVE APPROACH
A system which automatically synthesizes a
process plan for a new component.
(i) part description
(ii) manufacturing databases
(iii) decision making logic and
algorithms
MAJOR COMPONENTS:
13 - 30
8/11/2022
ADVANTAGES OF THE
GENERATIVE APPROACH
1. Generate consistent process plans rapidly;
2. New components can be planned as easily as
existing components;
3. It has potential for integrating with an
automated manufacturing facility to provide
detailed control information.
13 - 31
8/11/2022
KEY DEVELOPMENTS
1. The logic of process planning must be
identified and captured.
2. The part to be produced must be clearly and
precisely defined in a computer-compatible
format
3. The captured logic of process planning and the
part description
13 - 32
8/11/2022
PRODUCT REPRESENTATION
Geometrical information
Part shape
Design features
Technological information
Tolerances
Surface quality (surface finish, surface integrity)
Special manufacturing notes
Etc.
"Feature information"
Manufacturing features
e.g. slots, holes, pockets, etc.
13 - 33
8/11/2022
INPUT REPRESENTATION SELECTION
• How much information is needed?
• Data format required.
• Ease of use for the planning.
• Interface with other functions, such as, part
programming, design, etc.
• Easy recognition of manufacturing features.
• Easy extraction of planning information from the
representation.
13 - 34
8/11/2022
WHAT INPUT REPRESENTATIONS
GT CODE
Line drawing
Special language
Symbolic representation
Solid model
CSG
B-Rep
others?
Feature based model
13 - 35
8/11/2022
SPECIAL LANGUAGE
10 CYLINDER/3,1/
11 DFIT/K,5/
12 CHAMFER/.2,2.6/
20 CYLINDER/2.5,1.2/
21 LTOL/+0.001,-0.001/
3
1
1.2
2.5
.2x2.6
K5
+.001
-.001
AUTAP
13 - 36
8/11/2022
CIMS/PRO REPRESENTATION
a1
a2 a3
a4
a5
a6
t
X
Y Z
sweep
direction
13 - 37
8/11/2022
GARI REPRESENTATION
0 3.0
2
.5
0 1.
X
Y
3.0
F1
F2
F3
(F1 (type face) (direction xp) (quality 120))
(F2 (type face) (direction yp) (quality 64))
(F3 (type face) (direction ym) (quality rough))
(H1 (type countersunk-hole) (diameter 1.0)
(countersik-diameter 3.0)
(starting-from F2) (opening-into F3))
(distance H1 F1 3.0)
(countersink-depth F2 H1 0.5)
13 - 38
8/11/2022
CONCEPT OF FEATURE
Manufacturing is "feature" based.
Feature:
1 a: the structure, form, or appearance esp. of a
person
b: obs: physical beauty.
2 a: the makeup or appearance of the face or its
parts
b: a part of the face: LINEAMENT
3: a prominent part or characteristic
4: a special attraction
Webster's Ninth New Collegiate Dictionary
13 - 39
8/11/2022
FEATURES IN DESIGN AND
MANUFACTURING
A high level geometry which includes a set of
connected geometries. Its meaning is
dependent upon the application domain.
Boss
Pocket with an island
Design Feature vs Manufacturing Feature
13 - 40
8/11/2022
DESIGN FEATURES
• For creating a shape
• For providing a function
Motion Slot feature
13 - 41
8/11/2022
MANUFACTURING FEATURES
• For process selection
• For fixturing
End mill a slot
Drilling Round hole
Turning Rotational
feature
End milling Plane surface,
Hole, profile, slot
pocket
Ball end mill Free form
surface
Boring Cylindrical shell
Reaming Cylindrical shell
... ...
Manufacturing
is feature based.
13 - 42
8/11/2022
MANUFACTURING FEATURES (cont.)
?
13 - 43
8/11/2022
DATA ASSOCIATED WITH
DESIGN FEATURES
Mechanical Engineering Part Design
• Feature Type
• Dimension
• Location
• Tolerance
• Surface finish
• Function
A Slot
13 - 44
8/11/2022
DATA ASSOCIATED WITH
MANUFACTURING FEATURES
• Feature type
• Dimension
• Location
• Tolerance
• Surface finish
• Relations with other features
• Approach directions
Approach
Approach
° Feature classifications are not the same.
13 - 45
8/11/2022
FEATURE RECOGNITION
Extract and decompose features from a geometric
model.
• Syntactic pattern recognition
• State transition diagram and automata
• Decomposition
• Logic
• Graph matching
• Face growing
13 - 46
8/11/2022
DIFFICULTIES OF FEATURE
RECOGNITION
• Potentially large number of features.
• Features are domain and user specific.
• Lack of a theory in features.
• Input geometric model specific. Based on
incomplete models.
• Computational complexity of the algorithms.
• Existing algorithms are limited to simple
features.
13 - 47
8/11/2022
DESIGN WITH MANUFACTURING
FEATURES
Make the design process a simulation of the
manufacturing process. Features are tool swept
volumes and operators are manufacturing
processes.
Design
Process Planning
Bar stock - Profile - Bore hole
Turn profile Drill hole
Bore hole
13 - 48
8/11/2022
PROS AND CONS OF DESIGN WITH
MANUFACTURING FEATURES
• Concurrent engineering - designers are forced
to think about manufacturing process.
• Simplify (eliminate) process planning.
• Hinder the creative thinking of designers.
• Use the wrong talent (designer doing process
planning).
• Interaction of features affects processes.
Pros
Cons
13 - 49
8/11/2022
BACKWARD PLANNING
.
Bo rin g
D r i l l i n g
Mi l l i n g
Fin is h e d
p a rt
Wo rkp ie c e
P l a n n i n g
M a c h in in g o p e r a t io n
13 - 50
8/11/2022
PROCESS KNOWLEDGE
REPRESENTATION
• Predicate logic
• Production rules
• Semantic Nets
• Frames
• Object Oriented Programming
13 - 51
8/11/2022
SOME RESEARCH ISSUES
• Part design representation: information contents,
data format
• Geometric reasoning: feature recognition, feature
extraction, tool approach directions, feature
relations
• Process selection: backward planning, tolerance
analysis, geometric capability, process knowledge,
process mechanics
• Tool selection: size, length, cut length, shank length,
holder, materials, geometry, roughing, and finishing
tools
13 - 52
8/11/2022
SOME RESEARCH ISSUES
(continue)
• Fixture design: fixture element model, fixturing
knowledge modeling, stability analysis,
friction/cutting force
• Tool path planning: algorithms for features,
gauging and interference avoidance algorithms,
automated path generation
• Software engineering issues: data structure, data
base, knowledge base, planning algorithms, user
interface, software interface
13 - 53
8/11/2022
A FEATURE BASED DESIGN/
PROCESS PLANNING SYSTEM
Geometric Reasoning
Application-Specific Features (e.g. manufacturing features)
blind slot, through slot, step, etc.
approach direction, feed direction
feature relations: precedence and intersection type
Manufacturing-Oriented Design Features
hole, straight slot, T-slot, circular slot, pocket
counterbore, sculptured surface cavity
Principle:
Provide designer with the freedom to describe shape -
avoid constraining manufacturing planning
or requiring detailed manufacturing knowledge.
13 - 54
8/11/2022
SOME AUTOMATED PROCESS PLANNING EFFORTS
U. Mass, Dixon: Features-based design for
manufacturing analysis of extrusions,
castings, injection molding
ASU, Shah: Theory of features study for
CAM-I; Feature-mapping shell
Stanford,Cutkosky: feature-based design,
process planning, fixturing systems.
Helsinki, Mantyla: systems for design &
process planning.
IBM, Rossignac:Editing & validation of
feature models; MAMOUR system.
SDRC, Chung, GE, Simmons: Feature-based
design and casting analysis.
NIST : Automated process planning
CAM-I, UTRC: XPS-2, generative process
planning
U of Maryland, Nau: Semi-generative process
planning
GE R & D, Hines: Art to Part
Penn State, Wysk (Texas A&M): graph based
process planning
Stanford, Cutkosky: FirstCut, integrated design
and manufacturing system based on
features.
CMI & CMU: IMW, feature based design,
expert operation planning.
U. of Twente, Holland, Kals: PARTS , feature
based input, feature recognition, operation
planning.
Allied Bendix, Hummel & Brooks: XCUT
system for cavity operation planning.
IPK Berlin & IPK Aachen
UMIST, B.J. Davies
U. of Leeds, de Pennington
U. of Tokyo, Kimura
Features in Process Planning
Feature in Design
QTC is one of the only efforts that
considers design through inspection
and the only one that uses deep
geometric reasoning to link design
and process planning.
13 - 55
8/11/2022
SOME APPROACHES
CAD
CAM
2-D
Drafting
Process Planner
• auto matic d rawing interp retation
• gen. typ e plan generation
Automatic part
programming
3-D
Solid Mod el
cann ed/au to. cutter
path cycle
Feature based
solid model
automatic part
programming
• feature refinemen t
• limited geometric reaso ning
• generative plan ning
• seq may dictated by d esign
2-D
Drafting
• drawing interp retation
• variant type plan generation
• interactive part programming
NC control
3-D CAD
Mod el
• interactive drawing interpretatio n
• gen./v ariant type plan
g eneratio n
cann ed cutter
path cycles
• geometric reasoning
• expert planner
• no h uman decision
13 - 56
8/11/2022
THE DEVELOPMENT OF CAPP
1960 1970 1980 1990 2000
Intelligence of
the system
Human
Expert
?
manual
planning
Data
base
GT
variant
system
expert
system
geometric
reasoning
elementary
machine
learning
? technology

More Related Content

Similar to ie550capp.ppt

minor project report on manual punching die in doc
minor project report on manual punching die in docminor project report on manual punching die in doc
minor project report on manual punching die in docSuhel Ahmad
 
Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Dashboard
Six Sigma DMADV Approach for Conceptual Design Synthesis of Car DashboardSix Sigma DMADV Approach for Conceptual Design Synthesis of Car Dashboard
Six Sigma DMADV Approach for Conceptual Design Synthesis of Car DashboardJayesh Sarode
 
IRJET- Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...
IRJET-  	  Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...IRJET-  	  Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...
IRJET- Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...IRJET Journal
 
Design and Development of Dynamo Testing Machine
Design and Development of Dynamo Testing MachineDesign and Development of Dynamo Testing Machine
Design and Development of Dynamo Testing MachineIRJET Journal
 
minor project report on manual punching die in pdf
minor project report on manual punching die in pdfminor project report on manual punching die in pdf
minor project report on manual punching die in pdfSuhel Ahmad
 
Vice Cum Bender Machine
Vice Cum Bender MachineVice Cum Bender Machine
Vice Cum Bender MachineIRJET Journal
 
IRJET- Design of Angular Way Drilling Machine
IRJET- Design of Angular Way Drilling MachineIRJET- Design of Angular Way Drilling Machine
IRJET- Design of Angular Way Drilling MachineIRJET Journal
 
GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED CALAVERAS COUNTY ...
GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED  CALAVERAS COUNTY ...GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED  CALAVERAS COUNTY ...
GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED CALAVERAS COUNTY ...DeniseMathre1
 
Improvement in the Design of the Fixture and Pattern
Improvement in the Design of the Fixture and PatternImprovement in the Design of the Fixture and Pattern
Improvement in the Design of the Fixture and PatternIRJET Journal
 
IRJET - Knowledge-based Forging Die Design of Crankshaft
IRJET -  	  Knowledge-based Forging Die Design of CrankshaftIRJET -  	  Knowledge-based Forging Die Design of Crankshaft
IRJET - Knowledge-based Forging Die Design of CrankshaftIRJET Journal
 
Manufacturing of Toggle Jack
Manufacturing of Toggle JackManufacturing of Toggle Jack
Manufacturing of Toggle JackIRJET Journal
 
IRJET- Design and Analysis of Progressive Die for Industrial Component Ta...
IRJET-  	  Design and Analysis of Progressive Die for Industrial Component Ta...IRJET-  	  Design and Analysis of Progressive Die for Industrial Component Ta...
IRJET- Design and Analysis of Progressive Die for Industrial Component Ta...IRJET Journal
 
IRJET- Productivity Improvement Kaizen of XC-60 Housing
IRJET- Productivity Improvement Kaizen of XC-60 HousingIRJET- Productivity Improvement Kaizen of XC-60 Housing
IRJET- Productivity Improvement Kaizen of XC-60 HousingIRJET Journal
 

Similar to ie550capp.ppt (20)

Vivek_Kukade
Vivek_KukadeVivek_Kukade
Vivek_Kukade
 
minor project report on manual punching die in doc
minor project report on manual punching die in docminor project report on manual punching die in doc
minor project report on manual punching die in doc
 
Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Dashboard
Six Sigma DMADV Approach for Conceptual Design Synthesis of Car DashboardSix Sigma DMADV Approach for Conceptual Design Synthesis of Car Dashboard
Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Dashboard
 
IRJET- Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...
IRJET-  	  Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...IRJET-  	  Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...
IRJET- Six Sigma DMADV Approach for Conceptual Design Synthesis of Car Da...
 
SMT Sales 2011
SMT Sales 2011SMT Sales 2011
SMT Sales 2011
 
SMT 2011
SMT  2011SMT  2011
SMT 2011
 
SMT 2011
SMT 2011SMT 2011
SMT 2011
 
Design and Development of Dynamo Testing Machine
Design and Development of Dynamo Testing MachineDesign and Development of Dynamo Testing Machine
Design and Development of Dynamo Testing Machine
 
minor project report on manual punching die in pdf
minor project report on manual punching die in pdfminor project report on manual punching die in pdf
minor project report on manual punching die in pdf
 
Vice Cum Bender Machine
Vice Cum Bender MachineVice Cum Bender Machine
Vice Cum Bender Machine
 
Project Management
Project ManagementProject Management
Project Management
 
Yogesh_Molawade Resume
Yogesh_Molawade ResumeYogesh_Molawade Resume
Yogesh_Molawade Resume
 
IRJET- Design of Angular Way Drilling Machine
IRJET- Design of Angular Way Drilling MachineIRJET- Design of Angular Way Drilling Machine
IRJET- Design of Angular Way Drilling Machine
 
GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED CALAVERAS COUNTY ...
GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED  CALAVERAS COUNTY ...GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED  CALAVERAS COUNTY ...
GENERAL VENTURES EDD DIRECTOR KATHRYN GALLIONPAGE 3 EDITED CALAVERAS COUNTY ...
 
Improvement in the Design of the Fixture and Pattern
Improvement in the Design of the Fixture and PatternImprovement in the Design of the Fixture and Pattern
Improvement in the Design of the Fixture and Pattern
 
IRJET - Knowledge-based Forging Die Design of Crankshaft
IRJET -  	  Knowledge-based Forging Die Design of CrankshaftIRJET -  	  Knowledge-based Forging Die Design of Crankshaft
IRJET - Knowledge-based Forging Die Design of Crankshaft
 
Manufacturing of Toggle Jack
Manufacturing of Toggle JackManufacturing of Toggle Jack
Manufacturing of Toggle Jack
 
IRJET- Design and Analysis of Progressive Die for Industrial Component Ta...
IRJET-  	  Design and Analysis of Progressive Die for Industrial Component Ta...IRJET-  	  Design and Analysis of Progressive Die for Industrial Component Ta...
IRJET- Design and Analysis of Progressive Die for Industrial Component Ta...
 
IRJET- Productivity Improvement Kaizen of XC-60 Housing
IRJET- Productivity Improvement Kaizen of XC-60 HousingIRJET- Productivity Improvement Kaizen of XC-60 Housing
IRJET- Productivity Improvement Kaizen of XC-60 Housing
 
PG thesis
PG thesisPG thesis
PG thesis
 

Recently uploaded

OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLDeelipZope
 
Introduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptxIntroduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptxvipinkmenon1
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineeringmalavadedarshan25
 

Recently uploaded (20)

OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
 
Introduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptxIntroduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptx
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineering
 

ie550capp.ppt

  • 1. 13 - 1 8/11/2022 Process Engineering IE550 -- Manufacturing Systems Fall 2008 Dr. R. A. Wysk
  • 2. 13 - 2 8/11/2022 Chapter 6. PROCESS ENGINEERING • Process planning is also called: manufacturing planning, process planning, material processing, process engineering, and machine routing. • Which machining processes and parameters are to be used (as well as those machines capable of performing these processes) to convert (machine) a piece part from its initial form to a final form predetermined (usually by a design engineer) from an engineering drawing. • The act of preparing detailed work instructions to produce a part. • How to realize a given product design.
  • 3. 13 - 3 8/11/2022 PRODUCT REALIZATION Product design Process planning Operation programming Verification Scheduling Execution Process, machine knowledge Scheduling knowledge
  • 4. 13 - 4 8/11/2022 PROCESS PLANNING Design Machine Tool Scheduling and Production Control Process Planning
  • 5. 13 - 5 8/11/2022 PROBLEMS FACING MANUFACTURING INDUSTRY Fact: Only 11% of the machine tools in the U.S. are programmable. More than 53% of the metal-working plants in the U.S. do not have even one computer-controlled machine. Some problems: Cannot justify the cost Lack of expertise in using such machines Too small a batch size to offset the planning and programming costs Source: Kelley, M.R. and Brooks, H., The State of Computerized Automation in US Manufacturing, J.F. Kennedy School of Government, Harvard University, October 1988. Potential benefits in reducing turnaround time by using programmable machine tools have not been realized due to time, complexity and costs of planning and programming.
  • 6. 13 - 6 8/11/2022 DOMAIN One-of-a-kind and Small batch Objectives: Lead-time, Cost Approaches: process selection, use existing facilities. Mass production Objective: Cost Approaches: process design, optimization, materials selection, facilities design
  • 7. 13 - 7 8/11/2022 How do we process engineer? • How can we make it? • How much does it cost? • How long will it take us to complete it? • How reliable will it be? • How can we recycle it
  • 8. 13 - 8 8/11/2022 How can we make it? • Is this like something else that we’ve done? – Yes; What methods were used? – No; Design a new process
  • 9. 13 - 9 8/11/2022 What methods were used? • Machining methods • Pressworking • Welding/fabrication • Casting • Powder materials • Layered deposition • Others
  • 10. 13 - 10 8/11/2022 Welding/fabrication: Additive techniques Initial Stock Weld Add-on Weld Add-on Final Product
  • 11. 13 - 11 8/11/2022 Machining Methods: Subtractive techniques Initial Stock Slotting Drilling Final Product
  • 13. 13 - 13 8/11/2022 ENGINEERING DESIGN MODELING 10"+0.01 -0.01 1'-4"+0.01 -0.01 4" +0.01 -0.01 7" +0.05 -0.05 5" +0.01 -0.01 3" +0.01 -0.01 2" +0.01 -0.01 0.001 A B A B S.F. 64 u inch U* - * CSG MODEL Fa c e Lo o p Ed g e V e rt e x B-REP MODEL
  • 14. 13 - 14 8/11/2022 INTERACTION OF PLANNING FUNCTIONS GEOMETRIC REASONING PROCESS SELECTION CUTTER SELECTION MACHINE TOOL SELECTION SETUP PLANNING FIXTURE PLANNING CUTTER PATH GENERATION • global & local geometry • process capability • process cost • available tools • tool dimension and geometry • geometric constraints • machine availability, cost • machine capability • feature relationship • approach directions • process constraints • fixture constraints • fixture element function • locating, supporting, and clamping surfaces • stability • feature merging and split • path optimization • obstacle and interference avoidance
  • 15. 13 - 15 8/11/2022 PROCESS PLAN • Also called : operation sheet, route sheet, operation planning summary, or another similar name. • The detailed plan contains: route processes process parameters machine and tool selections fixtures • How detail the plan is depends on the application. • Operation: a process • Operation Plan (Op-plan): contains the description of an operation, includes tools, machines to be used, process parameters, machining time, etc. • Op-plan sequence: Summary of a process plan.
  • 16. 13 - 16 8/11/2022 EXAMPLE PROCESS PLANS Route Sheet Part No. S1243 Part Name: Mounting Bracket 1. MtlRm 2. Mill02 5 3. Drl01 4 4. Insp 1 workstation Time(min) by: T.C. Chang PROCESS PLAN ACE Inc. Part No. S0125-F Part Name: Housing Original: S.D. Smart Date: 1/1/89 Checked: C.S. Good Date: 2/1/89 Material: steel 4340Si Changes: Date: Approved: T.C. Chang Date: 2/14/89 No. Operation Description Workstation Setup Tool Time (Min) 10 Mill bottom surface1 MILL01 see attach#1 for illustration Face mill 6 teeth/4" dia 3 setup 5 machining 20 Mill top surface MILL01 see attach#1 Face mill 6 teeth/4" dia 2 setup 6 machining 30 Drill 4 holes DRL02 set on surface1 twist drill 1/2" dia 2" long 2 setup 3 machining Detailed Process Plan Oper. Routing Summary
  • 17. 13 - 17 8/11/2022 FACTORS AFFECTING PROCESS PLAN SELECTION • Shape • Tolerance • Surface finish • Size • Material type • Quantity • Value of the product • Urgency • Manufacturing system itself • etc.
  • 18. 13 - 18 8/11/2022 PROCESS PLANNING CLASSIFICATION MANUAL COMPUTER-AIDED VARIANT GT based Computer aids for editing Parameters selection GENERATIVE Some kind of decision logic Decision tree/table Artificial Intelligence Objective-Oriented Still experience based AUTOMATIC Design understanding Geometric reasoning capability
  • 19. 13 - 19 8/11/2022 REQUIREMENTS IN MANUAL PROCESS PLANNING • ability to interpret an engineering drawing. • familiar with manufacturing processes and practice. • familiar with tooling and fixtures. • know what resources are available in the shop. • know how to use reference books, such as machinability data handbook. • able to do computations on machining time and cost. • familiar with the raw materials. • know the relative costs of processes, tooling, and raw materials.
  • 20. 13 - 20 8/11/2022 INDUSTRIAL SOLUTION 1 0 "+ 0 .0 1 -0 .0 1 1 ' -4 "+ 0 .0 1 -0 .0 1 4 " + 0 .0 1 -0 .0 1 7 " + 0 .0 5 -0 .0 5 5 " + 0 .0 1 -0 .0 1 3 " + 0 .0 1 -0 .0 1 2 " + 0 .0 1 -0 .0 1 0 .0 0 1 A B A B S.F. 64 u inch PRODUCT CONCEPT CAD CAM CUTTER PATH HUMAN - decision making COMPUTER - geometric computation, data handling N0010 G70 G 90 T08 M06 N0020 G00 X2.125 Y-0.475 Z4.000 S3157 N0030 G01 Z1.500 F63 M03 N0040 G01 Y4.100 N0050 G01 X2.625 N0060 G01 Y1.375 N0070 G01 X3.000 N0080 G03 Y2.625 I3.000 J2.000 N0090 G01 Y2.000 N0100 G01 X2.625 N0110 G01 Y-0.100 N0120 G00 Z4.000 T02 M05 N0130 F9.16 S509 M06 N0140 G81 X0.750 Y1.000 Z-0.1 R2.100 M03 N0150 G81 X0.750 Y3.000 Z-0.1 R2.100 N0160 G00 X-1.000 Y-1.000 M30 . Hand bo o k
  • 21. 13 - 21 8/11/2022 PROCESS PLANNING STEPS • Study the overall shape of the part. Use this information to classify the part and determine the type of workstation needed. • Thoroughly study the drawing. Try to identify every manufacturing features and notes. • If raw stock is not given, determine the best raw material shape to use. • Identify datum surfaces. Use information on datum surfaces to determine the setups. • Select machines for each setup. • For each setup determine the rough sequence of operations necessary to create all the features.
  • 22. 13 - 22 8/11/2022 PROCESS PLANNING STEPS (continue) • Sequence the operations determined in the previous step. • Select tools for each operation. Try to use the same tool for several operations if it is possible. Keep in mind the trade off on tool change time and estimated machining time. • Select or design fixtures for each setup. • Evaluate the plan generate thus far and make necessary modifications. • Select cutting parameters for each operation. • Prepare the final process plan document.
  • 23. 13 - 23 8/11/2022 COMPUTER-AIDED PROCESS PLANNING ADVANTAGES 1. It can reduce the skill required of a planner. 2. It can reduce the process planning time. 3. It can reduce both process planning and manufacturing cost. 4. It can create more consistent plans. 5. It can produce more accurate plans. 6. It can increase productivity.
  • 24. 13 - 24 8/11/2022 WHY AUTOMATED PROCESS PLANNING • Shortening the lead-time • Manufacturability feedback • Lowering the production cost • Consistent process plans
  • 25. 13 - 25 8/11/2022 PROCESS PLANNING Machining features Design Workpiece Selection Process Selection Tool Selection Feed, Speed Selection Operation Sequencing Setup Planning Fixturing Planning Part Programming
  • 26. 13 - 26 8/11/2022 VARIANT PROCESS PLANNING Standard process plans & individual process plans process plan editing part coding part family formation standard plan preparation part coding part family search process plan retrieval finished process plan GROUP TECHNOLOGY BASED RETRIEVAL SYSTEM
  • 27. 13 - 27 8/11/2022 PROBLEMS ASSOCIATED WITH THE VARIANT APPROACH 1. The components to be planned are limited to similar components previously planned. 2. Experienced process planners are still required to modify the standard plan for the specific component. 3. Details of the plan cannot be generated. 4. Variant planning cannot be used in an entirely automated manufacturing system, without additional process planning.
  • 28. 13 - 28 8/11/2022 ADVANTAGES OF THE VARIANT APPROACH 1. Once a standard plan has been written, a variety of components can be planned. 2. Comparatively simple programming and installation (compared with generative systems) is required to implement a planning system. 3. The system is understandable, and the planner has control of the final plan. 4. It is easy to learn, and easy to use.
  • 29. 13 - 29 8/11/2022 GENERATIVE APPROACH A system which automatically synthesizes a process plan for a new component. (i) part description (ii) manufacturing databases (iii) decision making logic and algorithms MAJOR COMPONENTS:
  • 30. 13 - 30 8/11/2022 ADVANTAGES OF THE GENERATIVE APPROACH 1. Generate consistent process plans rapidly; 2. New components can be planned as easily as existing components; 3. It has potential for integrating with an automated manufacturing facility to provide detailed control information.
  • 31. 13 - 31 8/11/2022 KEY DEVELOPMENTS 1. The logic of process planning must be identified and captured. 2. The part to be produced must be clearly and precisely defined in a computer-compatible format 3. The captured logic of process planning and the part description
  • 32. 13 - 32 8/11/2022 PRODUCT REPRESENTATION Geometrical information Part shape Design features Technological information Tolerances Surface quality (surface finish, surface integrity) Special manufacturing notes Etc. "Feature information" Manufacturing features e.g. slots, holes, pockets, etc.
  • 33. 13 - 33 8/11/2022 INPUT REPRESENTATION SELECTION • How much information is needed? • Data format required. • Ease of use for the planning. • Interface with other functions, such as, part programming, design, etc. • Easy recognition of manufacturing features. • Easy extraction of planning information from the representation.
  • 34. 13 - 34 8/11/2022 WHAT INPUT REPRESENTATIONS GT CODE Line drawing Special language Symbolic representation Solid model CSG B-Rep others? Feature based model
  • 35. 13 - 35 8/11/2022 SPECIAL LANGUAGE 10 CYLINDER/3,1/ 11 DFIT/K,5/ 12 CHAMFER/.2,2.6/ 20 CYLINDER/2.5,1.2/ 21 LTOL/+0.001,-0.001/ 3 1 1.2 2.5 .2x2.6 K5 +.001 -.001 AUTAP
  • 36. 13 - 36 8/11/2022 CIMS/PRO REPRESENTATION a1 a2 a3 a4 a5 a6 t X Y Z sweep direction
  • 37. 13 - 37 8/11/2022 GARI REPRESENTATION 0 3.0 2 .5 0 1. X Y 3.0 F1 F2 F3 (F1 (type face) (direction xp) (quality 120)) (F2 (type face) (direction yp) (quality 64)) (F3 (type face) (direction ym) (quality rough)) (H1 (type countersunk-hole) (diameter 1.0) (countersik-diameter 3.0) (starting-from F2) (opening-into F3)) (distance H1 F1 3.0) (countersink-depth F2 H1 0.5)
  • 38. 13 - 38 8/11/2022 CONCEPT OF FEATURE Manufacturing is "feature" based. Feature: 1 a: the structure, form, or appearance esp. of a person b: obs: physical beauty. 2 a: the makeup or appearance of the face or its parts b: a part of the face: LINEAMENT 3: a prominent part or characteristic 4: a special attraction Webster's Ninth New Collegiate Dictionary
  • 39. 13 - 39 8/11/2022 FEATURES IN DESIGN AND MANUFACTURING A high level geometry which includes a set of connected geometries. Its meaning is dependent upon the application domain. Boss Pocket with an island Design Feature vs Manufacturing Feature
  • 40. 13 - 40 8/11/2022 DESIGN FEATURES • For creating a shape • For providing a function Motion Slot feature
  • 41. 13 - 41 8/11/2022 MANUFACTURING FEATURES • For process selection • For fixturing End mill a slot Drilling Round hole Turning Rotational feature End milling Plane surface, Hole, profile, slot pocket Ball end mill Free form surface Boring Cylindrical shell Reaming Cylindrical shell ... ... Manufacturing is feature based.
  • 42. 13 - 42 8/11/2022 MANUFACTURING FEATURES (cont.) ?
  • 43. 13 - 43 8/11/2022 DATA ASSOCIATED WITH DESIGN FEATURES Mechanical Engineering Part Design • Feature Type • Dimension • Location • Tolerance • Surface finish • Function A Slot
  • 44. 13 - 44 8/11/2022 DATA ASSOCIATED WITH MANUFACTURING FEATURES • Feature type • Dimension • Location • Tolerance • Surface finish • Relations with other features • Approach directions Approach Approach ° Feature classifications are not the same.
  • 45. 13 - 45 8/11/2022 FEATURE RECOGNITION Extract and decompose features from a geometric model. • Syntactic pattern recognition • State transition diagram and automata • Decomposition • Logic • Graph matching • Face growing
  • 46. 13 - 46 8/11/2022 DIFFICULTIES OF FEATURE RECOGNITION • Potentially large number of features. • Features are domain and user specific. • Lack of a theory in features. • Input geometric model specific. Based on incomplete models. • Computational complexity of the algorithms. • Existing algorithms are limited to simple features.
  • 47. 13 - 47 8/11/2022 DESIGN WITH MANUFACTURING FEATURES Make the design process a simulation of the manufacturing process. Features are tool swept volumes and operators are manufacturing processes. Design Process Planning Bar stock - Profile - Bore hole Turn profile Drill hole Bore hole
  • 48. 13 - 48 8/11/2022 PROS AND CONS OF DESIGN WITH MANUFACTURING FEATURES • Concurrent engineering - designers are forced to think about manufacturing process. • Simplify (eliminate) process planning. • Hinder the creative thinking of designers. • Use the wrong talent (designer doing process planning). • Interaction of features affects processes. Pros Cons
  • 49. 13 - 49 8/11/2022 BACKWARD PLANNING . Bo rin g D r i l l i n g Mi l l i n g Fin is h e d p a rt Wo rkp ie c e P l a n n i n g M a c h in in g o p e r a t io n
  • 50. 13 - 50 8/11/2022 PROCESS KNOWLEDGE REPRESENTATION • Predicate logic • Production rules • Semantic Nets • Frames • Object Oriented Programming
  • 51. 13 - 51 8/11/2022 SOME RESEARCH ISSUES • Part design representation: information contents, data format • Geometric reasoning: feature recognition, feature extraction, tool approach directions, feature relations • Process selection: backward planning, tolerance analysis, geometric capability, process knowledge, process mechanics • Tool selection: size, length, cut length, shank length, holder, materials, geometry, roughing, and finishing tools
  • 52. 13 - 52 8/11/2022 SOME RESEARCH ISSUES (continue) • Fixture design: fixture element model, fixturing knowledge modeling, stability analysis, friction/cutting force • Tool path planning: algorithms for features, gauging and interference avoidance algorithms, automated path generation • Software engineering issues: data structure, data base, knowledge base, planning algorithms, user interface, software interface
  • 53. 13 - 53 8/11/2022 A FEATURE BASED DESIGN/ PROCESS PLANNING SYSTEM Geometric Reasoning Application-Specific Features (e.g. manufacturing features) blind slot, through slot, step, etc. approach direction, feed direction feature relations: precedence and intersection type Manufacturing-Oriented Design Features hole, straight slot, T-slot, circular slot, pocket counterbore, sculptured surface cavity Principle: Provide designer with the freedom to describe shape - avoid constraining manufacturing planning or requiring detailed manufacturing knowledge.
  • 54. 13 - 54 8/11/2022 SOME AUTOMATED PROCESS PLANNING EFFORTS U. Mass, Dixon: Features-based design for manufacturing analysis of extrusions, castings, injection molding ASU, Shah: Theory of features study for CAM-I; Feature-mapping shell Stanford,Cutkosky: feature-based design, process planning, fixturing systems. Helsinki, Mantyla: systems for design & process planning. IBM, Rossignac:Editing & validation of feature models; MAMOUR system. SDRC, Chung, GE, Simmons: Feature-based design and casting analysis. NIST : Automated process planning CAM-I, UTRC: XPS-2, generative process planning U of Maryland, Nau: Semi-generative process planning GE R & D, Hines: Art to Part Penn State, Wysk (Texas A&M): graph based process planning Stanford, Cutkosky: FirstCut, integrated design and manufacturing system based on features. CMI & CMU: IMW, feature based design, expert operation planning. U. of Twente, Holland, Kals: PARTS , feature based input, feature recognition, operation planning. Allied Bendix, Hummel & Brooks: XCUT system for cavity operation planning. IPK Berlin & IPK Aachen UMIST, B.J. Davies U. of Leeds, de Pennington U. of Tokyo, Kimura Features in Process Planning Feature in Design QTC is one of the only efforts that considers design through inspection and the only one that uses deep geometric reasoning to link design and process planning.
  • 55. 13 - 55 8/11/2022 SOME APPROACHES CAD CAM 2-D Drafting Process Planner • auto matic d rawing interp retation • gen. typ e plan generation Automatic part programming 3-D Solid Mod el cann ed/au to. cutter path cycle Feature based solid model automatic part programming • feature refinemen t • limited geometric reaso ning • generative plan ning • seq may dictated by d esign 2-D Drafting • drawing interp retation • variant type plan generation • interactive part programming NC control 3-D CAD Mod el • interactive drawing interpretatio n • gen./v ariant type plan g eneratio n cann ed cutter path cycles • geometric reasoning • expert planner • no h uman decision
  • 56. 13 - 56 8/11/2022 THE DEVELOPMENT OF CAPP 1960 1970 1980 1990 2000 Intelligence of the system Human Expert ? manual planning Data base GT variant system expert system geometric reasoning elementary machine learning ? technology