This document discusses various quality control concepts and methods used in manufacturing including:
- Six Sigma which aims to reduce defects through statistical analysis and setting a target of 3.4 defects per million
- Lean manufacturing which focuses on maximizing efficiency and minimizing waste
- ISO and ANSI standards which set international and national standards for quality and manufacturing processes
- Statistical process control which uses statistical analysis and control charts to monitor manufacturing processes and identify sources of variation
- Quality inspection equipment including gauges, metrology equipment, indicators, and visual inspection tools like comparators and microscopes used to evaluate products.
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Learn more at https://www.3dcs.com/tolerance-analysis-software-and-spc-systems/3dcs-software/siemens-nx-integrated
3DCS Dimensional Variation Analysis Integrated in Siemens NX CADBenjamin Reese
3DCS for NX gives outputs based on part and process variation. These can be input in a variety of ways, from CAD based PMI to selecting from applicable feature or point based options in 3DCS. The final results are shown as statistical (Monte Carlo) and mathematics (GeoFactor) based outputs with toggle-able metrics like Cpk, Ppk, ranges, percent out of specification and a variety more.
What helps 3DCS for NX stand out is its connection to Siemen's Teamcenter PLM system. Not only is 3DCS for NX integrated into NX CAD, but it in turn is integrated with Teamcenter. The 3DCS analysis data is stored in the NX CAD model, meaning that any place the model is stored or managed takes the 3DCS data along with it. This makes it easy to store your model and 3DCS data in Teamcenter, handling both version control and data security.
Learn more at https://www.3dcs.com/tolerance-analysis-software-and-spc-systems/3dcs-software/siemens-nx-integrated
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Learn more at https://www.3dcs.com/automated-spc-systems-qdm/system-overview
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Find out how 3DCS can help you reduce stress from manufacturing issues and empower you to reduce physical prototyping.
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Learn more at https://www.3dcs.com/automated-spc-systems-qdm/system-overview
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Bring your dimensional analysis into the 3DExperience from Dassault Systemes and optimize your designs to reduce rework, scrap and warranty claims.
With powerful tools and quality solutions, 3DCS empowers engineers and designers to bring their CAD models to life, using real data and realistic 3d simulation in order to analyze products before producing them.
These virtual prototypes let the designers tweak and fix issues before they become costly, reducing time to market and the possibility of problems later on.
Find out how 3DCS can help you reduce stress from manufacturing issues and empower you to reduce physical prototyping.
The PPAP workbook is an excellent tool for documenting a new part's production readiness. However it fails to take advantage of data visualization principles. A better PPAP workbook would allow users to quickly assess fitness-for-use by interpreting symbols and patterns, not columns of data and formulas.
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After studying this chapter, the reader will be able to
• understand the importance of metrology
• appreciate the significance of inspection
• appreciate the concepts of accuracy and precision
• explain the objectives of metrology and measurements
• understand the general measurement concepts
• elucidate the different sources and types of errors
• compare the different types of measurements
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Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
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• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
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2. Introduction
Critical to all aspects of manufacturing, from design
to packaging and beyond
Quality Standards
Statistical Process Control
Quality Inspection Equipment
Failure Testing
4. Six Sigma
Developed by the Motorola Company
Method of improving quality by reducing variability in
products and processes
Data driven decision making
Defined by the statistical levels expected for compliance
standard deviation of less than six sigma from the mean to the
most extreme specification limits
Requires high precision and repeatability
Only 3.4 defects per million allowed
Results in fewer defects, lower costs, greater customer
voice
6. Lean Manufacturing
Maximize efficiency while minimizing waste
Desires continuous operation with 100% parts
First-time quality
In-process quality checks
Planning
Pin points priority areas of quality consideration
7. ISO Standards
International Organization for
Standardization
Main purpose is to create internationally agreed upon
standards
Less variability
Greater promotion of worldwide competition
Voluntary, but highly regarded standards
8. ANSI Standards
American National Standards Institute
National standards which help meet the
internationally declared ISO standards
Valuable for market acceptance
Unlike ISO, ANSI does not create the standards, only
supervises the development and use of standards
9. ISO and ANSI in Manufacturing
Often set the bar for government regulations
Operator qualifications
Dimensioning and tolerances
Acceptable use of machinery and tools
Requirements for automation software, coding,
symbols, and terminology
Safety and testing requirements
Material handling requirements
10. GMP
Good Manufacturing Practice
Guidelines for manufacturing processes that affect
quality in
Food production
Medical devices
Pharmaceuticals
Lawfully enforced by the FDA
Includes batch records, distribution tracking, testing,
operator training, etc.
12. What is Statistical Process Control?
Constant in-process sampling of a production
variables
Data points are compared to average (Control chart)
Problems isolated
Modifications made to flagged area(s)
Repeat
Never ends while product still being produced
14. Benefits of SPC
Provides a method of surveillance and feedback for keeping processes
in control
Signals when a problem with the process has begun and is about to
affect quality adversely
Detects assignable causes of variation or root causes
Reduces the need for inspection due to predictability
Monitors process quality at the source
Provides a mechanism to make process changes and track the effects
of those changes
Once causes of variation have been eliminated, SPC provides ongoing
process capability analysis with comparison to the desired outcome
15. Requirements for SPC
Processes being considered for SPC must:
Be well defined
Have attributes with observable measures
Be repetitive
Be sufficiently critical to justify monitoring
16. SPC Implementation Pitfalls
Measurement variability
The process of measuring must be uniform throughout the
process.
Incorrect goals for SPC
Control charts should be constructed so as to detect process
trends rather than individual nonconforming events
Poor follow-up
SPC only signals the possible existence of a problem.
Without detailed investigations, as in an audit, and
instituting corrective action, SPC will not provide any
benefit.
17. Example of SPC in action
Statistical Process Control used by Raytheon
Wanted to monitor solder defects in surface mount assembly (Insufficient or excess
solder)
Raytheon used SPC to constantly monitor the soldering application
Solder screen condition
Solder screen tension
Squeegee pressure
Squeegee speed
Solder past viscosity
Solder paste particle size
SPC gave Raytheon:
Improved process capability
Higher quality
Increased yield in surface mount assembly
18. SPC Conclusion
SPC significantly improves profit and adds value by:
Improving product and service quality
Improving productivity
Streamlining processes
Reducing waste
Reducing environmental emissions
Improving capacity and predictive outcomes
20. Quality Inspection Methods
There are two main ways to inspect the quality of a
part for dimensional accuracy and quality
specifications.
Tactile: Using an instrument that comes in contact
with the part to measure and quantify aspects of a
part or component.
Visual: Using an instrument that does not come in
contact with the part, but uses visual methods of
comparison to quantify aspects of a part or
component.
21. Quality Inspection Equipment
There are two main categories of quality inspection
equipment.
Gauges: a piece of equipment designed specifically to
measure a single part or component.
Metrology Equipment: A piece of equipment versatile
enough to measure a wide range of parts, typically
requiring a custom fixture to hold each part.
22. Single Purpose Inspection Gauges
There are two kinds of gauges: Go/No Go Gauges, and
Variable Measurement Gauges.
Go/No Go example: Testing the size of a .125” pin with a
bilateral .005” tolerance. If the Pin fits through a hole of
size .130” without jamming and does not fit through a hole
of size .1245”, the pin will pass a Go/No Go quality
inspection. If the pin does not fit through the .130” hole or
slips through a .1245” hole, the pin will not pass a Go/No
Go quality Inspection.
A Variable Measurement Gauge would be a measurement
instrument designed to measure one type of part but be
able to output a wide range of measurements. These kinds
of gauges can also be used to monitor the manufacturing
process and catalog trends of certain aspects or
dimensions of a particular part.
23. Indicators – The Most Basic Tactile
Inspection Instrument
•Dial indicators and digital drop indicators are the most basic form of tactile measurement
instrumentation second to a ruler, calipers, and micrometers used for dimensional inspection
and would fall into the metrology equipment category. Indicators can be used on their own
mounted to a versatile stand, or incorporated permanently into a single purpose gauge.
•Dial indicators can measure parts with an accuracy between .001” and .005” depending on the
unit.
•Digital drop indicators can measure down to 0.00005” accurately (arguable).
24. Variable Measurement Gauge
Above is an example of a fixture for a variable measurement gauge. The part
would be clamped by the De-Sta-Co clamp and put under a drop indicator.
The indicator would be zeroed on the surface that the pins come out of
(Datum Surface) and then the probe would be lifted and placed on the part
surface. The measurement would be recorded.
25. Go / No Go Gauge
Above is an example of a Go / No Go Gauge. This particular gauge was used to
ensure the slot width of a not yet released part was within specification. The
Go shim of this gauge has a thickness of .012”, the No Go shim of this gauge
has a thickness of .01335”. Both shims were made with a Wire EDM. The shims
were verified with a drop indicator, a toolmakers microscope, and an optical
comparitor. The latter two of which will be detailed later in this presentation.
26. Coordinate Measurement Machine
(CMM)
The CMM is typically a CNC
machine that uses a tactile probe to
trace the profile of a part and
measure particular internal and
external features.
The CMM works in 3 dimensions and
the X and Y axes typically ride on a
compressed air buffer.
CMM’s can also use visual, laser,
white light, or air cushion touchless
probes.
Some of the best CMM’s have a
resolution of 0.000004”.
The CMM is one of the most precise
pieces of tactile quality inspection
equipment.
27. Visual Inspection Equipment
There are three types of visual inspection equipment:
Optical Comparators (also known as a shadow graph)
Toolmakers Microscope
CNC Optical measurement instruments
28. Optical Comparator
An Optical Comparator is a
measurement device with an XY table,
a stage, a light source, various lenses,
and a projection screen.
The light is shone on a part placed in
a fixture on a the stage, the shadow is
cast into the lens, the shadow is then
reflected through mirrors and cast
onto the screen.
The screen has graduations on it and
an origin.
Typically a quality inspector would
zero the XY read-out with the origin
placed on a feature, the table jogged
until the origin lies on the desired
feature to be measured, and the
measurement recorded from the readout.
29. Tool Makers Microscope
A tool makers mic is a more
direct version of a comparator.
There is a combination of top
and back stage lighting and a set
of crosshairs in the microscope
eye piece.
Typically there is a digital readout integrated with the stage.
The crosshairs are zeroed on the
edge of a part, the stage jogged
until the crosshairs are at the
other edge of the desired
feature, and a measurement
taken from the read-out.
30. CNC Visual Measurement Systems
Highly advanced optical
measurement systems
using both lasers and
digital imaging in
conjunction with software
able to recognize and
measure features from
images taken by the
machine.
Multiple features can be
measured in one run.
Measurement accuracy
down to a few microns.
32. Failure Testing
Failure testing: a way of ensuring a product will not
fail under different circumstances and situations of
stress, weather, temperature, and etc.
Testing allows an engineer to match up their
predictions to real life applications.
The results will help the designer rethink the product
and make necessary changes to meet the customers
needs.
Since quality control ensures a product meets
customer needs, testing can be considered a way to
influence product quality.
33. Failure Testing Methods
Tensile testing
Determines how a material
reacts to the applied tensile
forces.
You can find ultimate tensile
strength, modulus of rigidity
and stain.
Inexpensive after initial
investment
Simple to implement.
Images.google.com
34. Failure Testing Methods Cont.
Wear testing
Determines the effects of
continuous contact between two
surfaces.
You can find the friction factor
and amount of wear to a
surface.
Simple to implement
Inexpensive after initial
investment is made.
Images.google.com
35. Failure Testing Methods Cont.
Chemical Resistance Test
Determines the ability of a
material to resist changes in
its physical properties when
exposed to certain
chemicals.
You can find the rate at
which a chemical reacts a
product.
Testing with certain
chemical can be dangerous.
Images.google.com
36. Failure Testing Methods Cont.
Fatigue Testing
Determines the number of times
an object is able to withstand
before failing.
You can determine how long it
takes the product to fail.
Testing machines are used to
apply cyclic loads so you can
easily model test to mimic a real
life cycle pattern.
Images.google.com
37. Failure Testing Methods Cont.
Testing at the extremes.
Test done beyond the normal
operation conditions of a
product.
You can determine the time it
takes to fail.
You can also detect unsafe
failure at these certain
conditions.
Images.google.com
38. Failure Testing Defines Quality
Performance
Does the product withstand the customers operating
conditions?
Longevity
Does the life of the product be what your customer
wants?
Safety
When a product fails could it potentially cause harm to
the customer?
39. Conclusion
Quality Systems in Manufacturing
Quality Standards
Statistical Process Control
Quality Inspection Equipment
Failure Testing
Questions ? ? ?
Measurement Variability - Consistent measurements cannot be expected from software processes that are not documented and generally followed. The process of measuring must be uniform throughout the process.
Incorrect goals for SPC - Control charts should be constructed so as to detect process trends, not individual nonconforming events.
Poor follow-up - SPC only signals the possible existence of a problem. Without detailed investigations, as in an audit, and instituting corrective action, SPC will not provide any benefit.