Submit Search
Upload
Experimental Investigation of Impact Strength for ABS Plus F.D.M. Parts using Taguchi
•
0 likes
•
38 views
IRJET Journal
Follow
https://irjet.net/archives/V4/i9/IRJET-V4I979.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
Optimization of Process Parameters for CNC Turning using Taguchi Methods for ...
Optimization of Process Parameters for CNC Turning using Taguchi Methods for ...
IRJET Journal
30120130406023 2-3
30120130406023 2-3
IAEME Publication
“Gray Relational Based Analysis of Al-6351”
“Gray Relational Based Analysis of Al-6351”
iosrjce
Ak4201243249
Ak4201243249
IJERA Editor
Investigation of post processing techniques to reduce the surface roughness o...
Investigation of post processing techniques to reduce the surface roughness o...
iaemedu
optimization of process parameters for cnc turning using taguchi methods for ...
optimization of process parameters for cnc turning using taguchi methods for ...
INFOGAIN PUBLICATION
A Review of FDM Based Parts to Act as Rapid Tooling
A Review of FDM Based Parts to Act as Rapid Tooling
IJMER
Analysis of process parameters in dry machining of en 31 steel by grey relati...
Analysis of process parameters in dry machining of en 31 steel by grey relati...
IAEME Publication
Recommended
Optimization of Process Parameters for CNC Turning using Taguchi Methods for ...
Optimization of Process Parameters for CNC Turning using Taguchi Methods for ...
IRJET Journal
30120130406023 2-3
30120130406023 2-3
IAEME Publication
“Gray Relational Based Analysis of Al-6351”
“Gray Relational Based Analysis of Al-6351”
iosrjce
Ak4201243249
Ak4201243249
IJERA Editor
Investigation of post processing techniques to reduce the surface roughness o...
Investigation of post processing techniques to reduce the surface roughness o...
iaemedu
optimization of process parameters for cnc turning using taguchi methods for ...
optimization of process parameters for cnc turning using taguchi methods for ...
INFOGAIN PUBLICATION
A Review of FDM Based Parts to Act as Rapid Tooling
A Review of FDM Based Parts to Act as Rapid Tooling
IJMER
Analysis of process parameters in dry machining of en 31 steel by grey relati...
Analysis of process parameters in dry machining of en 31 steel by grey relati...
IAEME Publication
ANALYSIS OF PROCESS PARAMETERS IN MILLING OF GLASS FIBRE REINFORCED PLASTIC C...
ANALYSIS OF PROCESS PARAMETERS IN MILLING OF GLASS FIBRE REINFORCED PLASTIC C...
IAEME Publication
Parametric optimization of surface roughness in turning inconel718 using tag
Parametric optimization of surface roughness in turning inconel718 using tag
IAEME Publication
Experimental Investigation and Parametric Studies of Surface Roughness Analy...
Experimental Investigation and Parametric Studies of Surface Roughness Analy...
IJMER
Ijsrdv4 i70362 swati_kekade
Ijsrdv4 i70362 swati_kekade
vishwajeet potdar
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
Investigation into the effects of process parameters on delamination 2
Investigation into the effects of process parameters on delamination 2
IAEME Publication
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...
IRJET Journal
Process parameter optimization of SLM process and application of Taguchi appr...
Process parameter optimization of SLM process and application of Taguchi appr...
ijsrd.com
001
001
Mangesh Kumbhar
247
247
sundar sivam
Investigations of machining parameters on surface roughness in cnc milling u...
Investigations of machining parameters on surface roughness in cnc milling u...
Alexander Decker
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...
IJERA Editor
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ijtsrd
N061102111
N061102111
IOSR Journals
A Review: Fused Deposition Modeling – A Rapid Prototyping Process
A Review: Fused Deposition Modeling – A Rapid Prototyping Process
IRJET Journal
Investigation of post processing techniques to reduce the surface
Investigation of post processing techniques to reduce the surface
iaemedu
IRJET- Study of Fused Deposition Modeling Process Parameters for Polycarbonat...
IRJET- Study of Fused Deposition Modeling Process Parameters for Polycarbonat...
IRJET Journal
A review on different process parameters in FDM and their effects on various ...
A review on different process parameters in FDM and their effects on various ...
IRJET Journal
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
IAEME Publication
ANALYSIS OF SHRINKAGE AND WARPAGE DISPLACEMENT USING CONFORMAL COOLING
ANALYSIS OF SHRINKAGE AND WARPAGE DISPLACEMENT USING CONFORMAL COOLING
IRJET Journal
Paper id 25201416
Paper id 25201416
IJRAT
IRJET- Effect of Gasoline Exposure on the Mechanical Properties of PLA an...
IRJET- Effect of Gasoline Exposure on the Mechanical Properties of PLA an...
IRJET Journal
More Related Content
What's hot
ANALYSIS OF PROCESS PARAMETERS IN MILLING OF GLASS FIBRE REINFORCED PLASTIC C...
ANALYSIS OF PROCESS PARAMETERS IN MILLING OF GLASS FIBRE REINFORCED PLASTIC C...
IAEME Publication
Parametric optimization of surface roughness in turning inconel718 using tag
Parametric optimization of surface roughness in turning inconel718 using tag
IAEME Publication
Experimental Investigation and Parametric Studies of Surface Roughness Analy...
Experimental Investigation and Parametric Studies of Surface Roughness Analy...
IJMER
Ijsrdv4 i70362 swati_kekade
Ijsrdv4 i70362 swati_kekade
vishwajeet potdar
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
Investigation into the effects of process parameters on delamination 2
Investigation into the effects of process parameters on delamination 2
IAEME Publication
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...
IRJET Journal
Process parameter optimization of SLM process and application of Taguchi appr...
Process parameter optimization of SLM process and application of Taguchi appr...
ijsrd.com
001
001
Mangesh Kumbhar
247
247
sundar sivam
Investigations of machining parameters on surface roughness in cnc milling u...
Investigations of machining parameters on surface roughness in cnc milling u...
Alexander Decker
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...
IJERA Editor
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ijtsrd
N061102111
N061102111
IOSR Journals
What's hot
(14)
ANALYSIS OF PROCESS PARAMETERS IN MILLING OF GLASS FIBRE REINFORCED PLASTIC C...
ANALYSIS OF PROCESS PARAMETERS IN MILLING OF GLASS FIBRE REINFORCED PLASTIC C...
Parametric optimization of surface roughness in turning inconel718 using tag
Parametric optimization of surface roughness in turning inconel718 using tag
Experimental Investigation and Parametric Studies of Surface Roughness Analy...
Experimental Investigation and Parametric Studies of Surface Roughness Analy...
Ijsrdv4 i70362 swati_kekade
Ijsrdv4 i70362 swati_kekade
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
Investigation into the effects of process parameters on delamination 2
Investigation into the effects of process parameters on delamination 2
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...
Process parameter optimization of SLM process and application of Taguchi appr...
Process parameter optimization of SLM process and application of Taguchi appr...
001
001
247
247
Investigations of machining parameters on surface roughness in cnc milling u...
Investigations of machining parameters on surface roughness in cnc milling u...
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel
N061102111
N061102111
Similar to Experimental Investigation of Impact Strength for ABS Plus F.D.M. Parts using Taguchi
A Review: Fused Deposition Modeling – A Rapid Prototyping Process
A Review: Fused Deposition Modeling – A Rapid Prototyping Process
IRJET Journal
Investigation of post processing techniques to reduce the surface
Investigation of post processing techniques to reduce the surface
iaemedu
IRJET- Study of Fused Deposition Modeling Process Parameters for Polycarbonat...
IRJET- Study of Fused Deposition Modeling Process Parameters for Polycarbonat...
IRJET Journal
A review on different process parameters in FDM and their effects on various ...
A review on different process parameters in FDM and their effects on various ...
IRJET Journal
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
IAEME Publication
ANALYSIS OF SHRINKAGE AND WARPAGE DISPLACEMENT USING CONFORMAL COOLING
ANALYSIS OF SHRINKAGE AND WARPAGE DISPLACEMENT USING CONFORMAL COOLING
IRJET Journal
Paper id 25201416
Paper id 25201416
IJRAT
IRJET- Effect of Gasoline Exposure on the Mechanical Properties of PLA an...
IRJET- Effect of Gasoline Exposure on the Mechanical Properties of PLA an...
IRJET Journal
A Review of FDM Based Parts to Act as Rapid Tooling
A Review of FDM Based Parts to Act as Rapid Tooling
IJMER
Design &Manufacturing of Spur Gear using Fused Deposition Modeling
Design &Manufacturing of Spur Gear using Fused Deposition Modeling
IRJET Journal
Feasibility study on stereolithography apparatus sla and selective laser si...
Feasibility study on stereolithography apparatus sla and selective laser si...
IAEME Publication
Di31743746
Di31743746
IJERA Editor
MODELLING AND SIMULATION OF COMPOSITE MATERIAL PROPELLER SHAFT FOR ASHOK LEYL...
MODELLING AND SIMULATION OF COMPOSITE MATERIAL PROPELLER SHAFT FOR ASHOK LEYL...
IRJET Journal
IRJET- Simulation and Analysis of Step Light Mid Part using Mold Flow Analysis
IRJET- Simulation and Analysis of Step Light Mid Part using Mold Flow Analysis
IRJET Journal
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SA
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SA
IJRES Journal
Production of nylon 6 fr lever using an injection moulding tool and identific...
Production of nylon 6 fr lever using an injection moulding tool and identific...
IAEME Publication
Casting Defect Identification and its Solution by Niyama Simulation
Casting Defect Identification and its Solution by Niyama Simulation
IRJET Journal
1 i18 ijsrms0206178-v2-i6-prasad diwanji-30nov15
1 i18 ijsrms0206178-v2-i6-prasad diwanji-30nov15
vishwajeet potdar
IRJET-Finite Element Analysis of CFRP Composite Material Machining: A Review
IRJET-Finite Element Analysis of CFRP Composite Material Machining: A Review
IRJET Journal
H012264250
H012264250
IOSR Journals
Similar to Experimental Investigation of Impact Strength for ABS Plus F.D.M. Parts using Taguchi
(20)
A Review: Fused Deposition Modeling – A Rapid Prototyping Process
A Review: Fused Deposition Modeling – A Rapid Prototyping Process
Investigation of post processing techniques to reduce the surface
Investigation of post processing techniques to reduce the surface
IRJET- Study of Fused Deposition Modeling Process Parameters for Polycarbonat...
IRJET- Study of Fused Deposition Modeling Process Parameters for Polycarbonat...
A review on different process parameters in FDM and their effects on various ...
A review on different process parameters in FDM and their effects on various ...
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
ANALYSIS OF SHRINKAGE AND WARPAGE DISPLACEMENT USING CONFORMAL COOLING
ANALYSIS OF SHRINKAGE AND WARPAGE DISPLACEMENT USING CONFORMAL COOLING
Paper id 25201416
Paper id 25201416
IRJET- Effect of Gasoline Exposure on the Mechanical Properties of PLA an...
IRJET- Effect of Gasoline Exposure on the Mechanical Properties of PLA an...
A Review of FDM Based Parts to Act as Rapid Tooling
A Review of FDM Based Parts to Act as Rapid Tooling
Design &Manufacturing of Spur Gear using Fused Deposition Modeling
Design &Manufacturing of Spur Gear using Fused Deposition Modeling
Feasibility study on stereolithography apparatus sla and selective laser si...
Feasibility study on stereolithography apparatus sla and selective laser si...
Di31743746
Di31743746
MODELLING AND SIMULATION OF COMPOSITE MATERIAL PROPELLER SHAFT FOR ASHOK LEYL...
MODELLING AND SIMULATION OF COMPOSITE MATERIAL PROPELLER SHAFT FOR ASHOK LEYL...
IRJET- Simulation and Analysis of Step Light Mid Part using Mold Flow Analysis
IRJET- Simulation and Analysis of Step Light Mid Part using Mold Flow Analysis
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SA
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SA
Production of nylon 6 fr lever using an injection moulding tool and identific...
Production of nylon 6 fr lever using an injection moulding tool and identific...
Casting Defect Identification and its Solution by Niyama Simulation
Casting Defect Identification and its Solution by Niyama Simulation
1 i18 ijsrms0206178-v2-i6-prasad diwanji-30nov15
1 i18 ijsrms0206178-v2-i6-prasad diwanji-30nov15
IRJET-Finite Element Analysis of CFRP Composite Material Machining: A Review
IRJET-Finite Element Analysis of CFRP Composite Material Machining: A Review
H012264250
H012264250
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
Asst.prof M.Gokilavani
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Dr.Costas Sachpazis
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
959SahilShah
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
purnimasatapathy1234
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
RajaP95
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
eptoze12
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZTE
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
DeepakSakkari2
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
RajaP95
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
Asst.prof M.Gokilavani
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
João Esperancinha
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
PoojaBan
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
britheesh05
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
rehmti665
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
NikhilNagaraju
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
GDSCAESB
Recently uploaded
(20)
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
Experimental Investigation of Impact Strength for ABS Plus F.D.M. Parts using Taguchi
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 456 EXPERIMENTAL INVESTIGATION OF IMPACT STRENGTH FOR ABS PLUS F.D.M. PARTS USING TAGUCHI M. Tharun kumar1, M.Sumalatha2,J.NagaMalleswar Rao3 1P.G student, M.TechCAD/CAM, V.R.Siddhartha Engineering College, Vijayawada, A.P 2Assistant Professor, Department of Mechanical , V.R.Siddhartha Engineering College ,Vijayawada, A.P 3Associate Professor, Department of Mechanical, Bharath Institute Of Engineering and Technology, Hyderabad ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract-3D PRINTING is an additive manufacturing process which builds the prototypes directly from CAD data. Fused deposition modeling is one of the rapid prototyping technique builds prototype in layer by layer process and directly dependent on process parameters. presentstudyillustratesthe performance of ABS Plus built parts fabricated by STRATASYS make dimension1200 es machine Fused Deposition Modeling(FDM). The effect of FDM parameters on Impact Strength is investigated. Experiments were conducted according to DOE with three different parameters such as model interior, build orientation angle and direction of rotation. The process parameters are optimized by using Taguchi method, s/n ratio is evaluated and the effect of the process parameters on Impact strength was estimated by the analysis of variance. Regression analysis is carried out to estimate the percentage of error between the experimental results and predicted results. The analysis shows that parameter having major effect on Impact strength is Angle of orientation. Key Words:ABS plus, F.D.M, Impact Tester, Impact strength, Mini tab-17, ANOVA, S/NRatio. 1. INTRODUCTION Rapid prototyping is an additive manufacturing process which builds the prototypes directlyfromcaddata byadding material layer by layer. Fused deposition modeling is one of the most widely used techniqueinwhichlayersofmaterial is extracted from nozzle head in molten form. The material is supplied to the nozzle in wire forms & melted in nozzle head above the melting point of material. This makes material to available in pool of molten state before extraction. The nozzle movement and extraction processiscontrolledby the slicing software which generates tool paths basedonthecad model.Many research works are going on to improve the mechanical properties of FDM made components.Several researches were alsodone on ABS material to investigate its mechanical propertiesby optimizing some of the process parameters like conductingexperiments on five different build style orientations to achieve good impact resistance. This work emphasizes on model interior, direction of rotation and build orientation angle on impact strength of ABS plus parts fabricated by fused deposition modeling process on stratasys make dimension 1200esmachineusing taguchi method. 2. FUSED DEPOSITION MODELLING PROCESS FDM is a process where a thermoplastic material is melted to near liquid state and then deposited as previously deposited material, building up a physical model layer by layer as shown in Fig.1 the part geometry is fed using a 3-D CAD model which is then converted into a machine understandable format called STL (sterolithography) file format.Since the component is prepared in FDM by addition of layers the component model is sliced into layers and the layers are defined by CATALYSTsoftware.slicingisa process in which a mathematical description of 3-D object is intersected with a series of parallel planes to generate the cross sectional data needed to form layers. After slicing the part is built by dimension1200es machine. The layers are deposited according to the parameter settings that have already been fed and those parameter levels must be with in the range of STRATASYS dimension 1200es machine. The parameters setting is very important as it directly influence the properties of the component. FDM uses two materials to execute the print job: modeling material, which constitutes the finished component and support material acts as scaffolding during building process, and can easily be removed after printing. Fig 1. FDM –Working Principle
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 457 3. LITERATURE REVIEW R. Anitha et al. [1] Have studied the effect of various process parameters, i.e. layer thickness, road width and speeddeposition of fused deposition modeling part. These process parameters influence the quality characteristics of the FDM parts. Taguchi method was used for design of experiments. L18 orthogonal array was selected for experiments. The result shows that the layer thickness is effective to 43.37% at 95% without pooling. On the other hand the layer thickness is effective to 51.57% at 99% with pooling. The layer thickness is most effective at 0.3556mm, the road width at 0.537mm and the speed of deposition at200mm P. M. PANDEY et al. [2] have studied the orientationforpart deposition as it affects part surface quality, productiontime and the requirement for support structureandcostinthe RP processes. They used Multicriteria Genetic Algorithm to determine optimal solutions for part deposition orientation for the two contradicting objectives i.e. surface roughness and built time. Theminimum averagepartsurfaceroughness can be obtained at the maximum production time. On the other hand the minimum production time with maximum average part surface roughness. The best surface roughness were obtained at 240.001 angles about the axis0.034,0.369, and 0.289and the minimum production time at 89.97 about axis 0.749, 0.011, and 0.009 SANDEEP RAUT et al. [3] have studied the critical factor affects the different areas of the FDM model like main material,support material, built up time, total cost per part and most important the mechanical properties of the part. Investigated the effect of built orientation onthemechanical properties and total cost of theFDMparts.The responsesare considered the mechanical property of FDM produced parts such as tensile and bending strength should be studied. The test specimens were prepared for the STRATASYS FDMtype rapidprototypingmachinecoupledwithCATALYSTsoftware and used the ABS material LEVY et al. [4] Have introduced a new co mposite material for the FDM process. The new composite materialsinvolving ABS and metals. The experiments have been conducted to characterize the thermal, mechanical, and rheological properties. The analyses have beencarriedouttoinvestigate main flow parameters such as temperature, pressure drop and velocity using two CFD software, two -d imensional and three-dimensional analysis.Theentrancevelocityoffilament at a rate of 0.001 m/s is maintained along the tube until it gets to the nozzle t ip. The melt flow speed in the center is the highest while lowest at the wall due to no -slipcondition. The results obtained fro m both of the analyses have been compared and show a verygoodcorrelationinpredicting the flow behavior. AHN et al. [5] compared the tensile and compressive strengths of the FDM prototypes made of ABSP400, withthe injection-molded parts of the same material. The factors considered in tensile strength measurements were raster orientation, air gap, bead width, color, and model temperature. On the other hand, build orientation was the factor that was considered in compressive strength measurement. It was shown that the build orientation significantly affects the compressive strength of the FDM specimens. KIM HG et. al.[6]compared the FDM, 3D printer, and Nanocomposite deposition (NCDS) processes byperforming experiments on directionally fabricated cylindrical parts. The effect of build direction on the compressive strength of parts was examined BYUN AND LEEet. al[7] aimed at determining the optimal buildup direction of a part for different RP systems using simple additive weighting method. Factors under their consideration were average weighted surface roughness, build time, and part cost appraised by build cost, labor cost, and material cost etc. ES-SAID et al. [8] studied the tensile strength, modulus of rupture, and impact resistance of ABS models produced using various raster orientations. The results suggestedthat the 0° raster orientation demonstrated superior strength and impact resistance among the five raster orientations examined. From the literature it is suggesting that minimum layer thickness is influencing mechanical properties and surface roughness. Even though building time increases with lower layer thickness of extracted material. Hence considered low value of model material thickness 0.100 mm for building the prototypes to investigate the effect. 4. MATERIAL AND METHODLOGY The quality of prototypes produced by fused deposition modeling process is highly dependent on the process parameters used in this process. Model interior is the characteristic that is how filling and distribution of model material takes place. In this work it is considered at three levels such as solid, sparse high density and sparse low density. Direction of rotation is considered for 3 levels as x- axiz (yz plane), y-axis (zx plane) and zaxis (xy plane). Build orientation angle is the process parameter by which printing takes place accordingly in angular manner the available angles for building the component are rangesfrom 0, 30, -30, 45, -45, 60, 90 degree in stratasys dimension 1200es machine.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 458 Table 1 Process Parameters And Levels The experiments were carried out by using an FDM STRATASYS dimension-1200es. For impact test,specimenis designed in CATIA-V5 softwareasperASTMD256standards (64mm length X 12.7mm height x 4 mm thickness). The Work piece is modeled as per ASTM D256 standards. Parts are fabricated by the use of FDM STRATASYS dimension- 1200es for the experiment. ABS Plus is the material used for fabricated the designed part. Statistical software minitab 17 is used to obtain results for the analysis of variance (ANOVA). s/n ratio derived from taguchi gives the information of best combination to predict the output response. Regression analysis is carried out to estimate the percentage of error between the experimental results and predicted results. Table 2 Mechanical Properties OfABS Plus Material The experimental layout was developed based on TaguchiOrthogonal Array was selected to satisfy the minimum number of experimental conditionsforthefactors and levels presented in table 3 with coded form generated from the minitab software according to the process parameters and their levels Table 3 L9 Orthogonal Array Coded Form The experiment is repeated for 3 times to observe the repeatability and the results were plotted down to express the significance of process parameters. Fig. 2 STRATASYS dimension 1200 es F.D.M machine 5. FABRICATION OF ASTM D256 PARTS The fabrication of ABS plus parts were fabricated using stratasys dimension 1200es machine, according to the design given from the taguchi orthogonal array.The process involves design of cad model and converting o .STL file format which is read by the machine accordinglytheprocess parameters setting is done and parts are produced. Fig. 3 Cad Model OfASTM D 256 Standard For Impact Test EXP No. Model interior Direction of rotation Angle of rotation 1 1 1 1 2 1 2 2 3 1 3 3 4 2 1 2 5 2 2 3 6 2 3 1 7 3 1 3 8 3 2 1 9 3 3 2 LEVELS PROCESS PARAMETERS Model interior Direction of rotation Build orientation angle 1 Solid X 0 2 Sprase H.D Y 45 3 Sparse L.D Z 90 Youngs modulus 2.3 GPa Tensile strength 36 MPa Flexural strength 52 MPa Impact strength 106 J/M Rockwell hardness 103-112 Elongation @ break 6%
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 459 Slicing is the technique where the entirecadmodel isformed into small triangles and the number of layers in slicing is dependent on the build orientation angleandcorresponding plane through which printing is required. Fig. 4 .STL Format Of Impact Test Specimen Fig.5 Impact Test specimen After Slicing Fig.6 Fabricated Abs Plus Components ByF.D.M 6. IMPACT TEST Impact strength is defined as ratio of absorbed energy tothe thickness of the component. The fabricated components according to the process parameters setting is tested for impact strength using impact tester and the results are tabulated for statistical analysis, test apparatus consists of free oscillating pendulum which when strikes down the component fixed in cantilever position the stored energy in parts is read from the dial indicator. Fig.7 Impact Test Machine The maximum testing capacity of machine is 22J and can accommodate the specimens ofthickness15mm .theweight of pendulum considered here is in terms of R3 the specimen is clamped vertically and fixed for testing. 7. STATISTICAL ANALYSIS The optimization of the measured control factors was provided by signal-to-noise (S/N) ratios. The highervalue of impact Strength is very important for parts made of FDM. For this reason, the larger-the-better‟‟ equation wasusedS/Nratio. Design for the ofcalculation Experiment DOEAnalysis & ANOVA for Main effects plot has been done using Minitab 17 application software. The results of the same with their respective graphs & interpretations are mentioned below in the sequential order. LEVEL Model interior Direction of rotation Angle of orientation 1 37.53 38.43 36.27 2 40.02 38.72 37.81 3 39.07 39.48 42.54 Delta 2.50 1.05 6.27 rank 2 3 1 Response Table4 For S/N Ratio Of Impact Strength
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 460 Fig 8 Main Effect Plots For Larger S/N Ratio The graph of s/n ratio explains that for combination of model interior sparse high density, direction of rotation is z and build orientation angle is 90 gives maximum impact strength for the taken process parameters with in the range of machine. The table gives informationthatlargers/nratio evaluates the experiment with highest impact strength and also the parameters suggests the minimum buildingtimefor the part in printing parameters. For calculation of s/n ratio larger the better is chosen in order to maximize the output response. ANOVA analysis is performed to investigate the significant process parameter showing highest influence on output response. From the results of response table the significant process parameter showing highest influence on impact strength is build orientation angle due to value of p is less than 0.05 Fig. 9 Response Result For ANOVA Analysis Table 5 Experimental Data For Impact Strength Regression analysis is performed to predict the percentage of error and the error calculated is experimental value – predicted value divided by obtained experimental result multiplied by 100. Linear multiple regression analysis is performed to obtain the percentage of error. Regression equation Impact strength = 55.004*(MI^0.152)*(DR^0.108)*(BA^0.594) Where MI represents model interior, DR represents direction of rotation and BR represents build orientation angle. Ex. No Mi Dr Br Predicted Value Experime ntal Value Error (%) 1 1 1 1 55.004 58.333 5.707 2 1 2 2 89.478 81 -10.466 3 1 3 3 118.941 122 2.506 4 2 1 2 92.249 82.666 -11.591 5 2 2 3 126.494 158.273 20.078 6 2 3 1 68.814 76.934 10.553 7 3 1 3 124.832 132.333 5.668 8 3 2 1 70.053 66.333 -5.607 9 3 3 2 110.473 101.366 -8.984 Table 6 Regression Analysis For Impact Strength Exp no. Model interior Directi on of rotatio n Build orientati on angle Impact strength s/n ratio 1 Solid X 0 58.333 34.8688 2 Solid Y 45 81 36.3302 3 Solid Z 90 122 41.3822 4 Sparse high density X 45 82.666 38.0926 5 Sparse high density Y 90 158.333 43.9239 6 Sparse high density Z 0 76.934 38.0543 7 Sparse low density X 90 132.333 42.3252 8 Sparse low density Y 0 66.333 35.8947 9 Sparse low density Z 45 101.366 38.9988
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 461 8. CONCLUSIONS The following conclusions can be drawnbasedontheresults of the experimental study on ABS Plus material parts made of Fused Deposition Modeling. Significant process parameter combination for better impact strength is observed from s/n ratio and the main plots. From ANOVA analysis the significant process parameter which influence the output response impact strength is build orientation angle(p – value <0.05) followed by direction of rotation and model interior parameters From regression analysis percentage of error is calculated for predicted impact strength and experimental impact strength and the %error is found to 80% with in the significant level. The optimum process parameters to obtain maximum impact strength is sparse high density model interior, direction of rotation Y about zx plane and angle of orientation is 90 degree. REFERENCES [1] R. Anitha, S. Arunachalam,P.Radhakrishnan,“Critical Parameters Influencing the Quality of Prototype inFused Deposition modelling”Journal of Materials Processing Technology, Vo lu me 118, Issues 1–3, 3 December 2001, Pages 385-388 (Elsevier) [2] P. M. Pandey, K. Thrimurthulu, N. Venkata Reddy, “Optimal part deposition orientation in FDM by using a multicriteria genetic International algorithm Journalof Production Research Volume 42, Issue 19, October 2004, pages 4069-4089 (Taylor & Francis) [3] R. Shetty, R. Pai, V. Kamath, S.S. Rao, Study on surface roughness minimization in turning of DRACs using surface roughness methodologyandTaguchiunderpressuredsteam jet approach, ARPN Journal of Engineering Applied Science (ARPNJEAS), Vol.3, no. 1, 2008,59–67. [4] Levy, G. N.; Schindel, R.; Kruth, J. P.; Leuven, K. U. Rapid manufacturing and Rapid Tooling with Layer Manufacturing (LM) Technologies – State of the Art and Future Perspectives. // CIRP Annals Manufacturing Technology. 52/2, (2003), pp. 589-609. [5] Ahn SH, Montero M, Odell D, Roundy S, Wright PK (2002) Anisotropic material properties of fused deposition modeling ABS. Rapid Prototyping J8(4):248–257 [6] Lee CS, Kim SG, Kim HJ, Ahn SH (2007) Measurement of anisotropic compressive strength of rapid prototyping parts. J Mater Process Technol 187–188:627 [7]. Byun H-S, Lee KH (2006) Determination of theoptimal build direction for different rapid prototyping processes using multi-criterion decision making. Robotics Comput- IntegrManuf Elsevier 22:69–80 8. Es-Said OS, FoyosJ, NooraniR,MandelsonM,Marloth R, Pregger BA (2000) Effect of layer orientation on mechanical properties of rapid prototyped samples. Mater Manuf Process 15 (1):107–122
Download now