Submit Search
Upload
IRJET- Parametric Optimization of Tig Welding on SS 304 and MS using Taguchi Approach
âą
0 likes
âą
34 views
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i5/IRJET-V6I5179.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
A04550105
A04550105
IOSR-JEN
Â
An Investigation on Effect of Welding Speed on Strength of Welded Joint using...
An Investigation on Effect of Welding Speed on Strength of Welded Joint using...
IRJET Journal
Â
Optimization of tig welding using taguchi and regression analysis
Optimization of tig welding using taguchi and regression analysis
vivek bisht
Â
IRJET - Mathematical Analysis of Angular Distortion on GTA Welded Hot Rolled ...
IRJET - Mathematical Analysis of Angular Distortion on GTA Welded Hot Rolled ...
IRJET Journal
Â
IRJET- Optimisation of Process Parameters of A-TIG Welding for Penetration an...
IRJET- Optimisation of Process Parameters of A-TIG Welding for Penetration an...
IRJET Journal
Â
OPTIMIZATION OF MACHINING PARAMETERS WITH TOOL INSERT SELECTION FOR S355J2G3 ...
OPTIMIZATION OF MACHINING PARAMETERS WITH TOOL INSERT SELECTION FOR S355J2G3 ...
AVINASH JURIANI
Â
Optimisation of Process parameter for Friction Stir Welding of Aluminium allo...
Optimisation of Process parameter for Friction Stir Welding of Aluminium allo...
IRJET Journal
Â
IRJET- Optimization of GTAW Process Parameters on Aluminum Alloy 6063 on ...
IRJET- Optimization of GTAW Process Parameters on Aluminum Alloy 6063 on ...
IRJET Journal
Â
Recommended
A04550105
A04550105
IOSR-JEN
Â
An Investigation on Effect of Welding Speed on Strength of Welded Joint using...
An Investigation on Effect of Welding Speed on Strength of Welded Joint using...
IRJET Journal
Â
Optimization of tig welding using taguchi and regression analysis
Optimization of tig welding using taguchi and regression analysis
vivek bisht
Â
IRJET - Mathematical Analysis of Angular Distortion on GTA Welded Hot Rolled ...
IRJET - Mathematical Analysis of Angular Distortion on GTA Welded Hot Rolled ...
IRJET Journal
Â
IRJET- Optimisation of Process Parameters of A-TIG Welding for Penetration an...
IRJET- Optimisation of Process Parameters of A-TIG Welding for Penetration an...
IRJET Journal
Â
OPTIMIZATION OF MACHINING PARAMETERS WITH TOOL INSERT SELECTION FOR S355J2G3 ...
OPTIMIZATION OF MACHINING PARAMETERS WITH TOOL INSERT SELECTION FOR S355J2G3 ...
AVINASH JURIANI
Â
Optimisation of Process parameter for Friction Stir Welding of Aluminium allo...
Optimisation of Process parameter for Friction Stir Welding of Aluminium allo...
IRJET Journal
Â
IRJET- Optimization of GTAW Process Parameters on Aluminum Alloy 6063 on ...
IRJET- Optimization of GTAW Process Parameters on Aluminum Alloy 6063 on ...
IRJET Journal
Â
Optimization of mig welding parameters using taguchi optimization technique
Optimization of mig welding parameters using taguchi optimization technique
Vineeth Goud
Â
A012520109
A012520109
IOSR Journals
Â
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...
IRJET Journal
Â
Cp36547553
Cp36547553
IJERA Editor
Â
Optimization of resistance spot welding process parameters of AISI 304l and A...
Optimization of resistance spot welding process parameters of AISI 304l and A...
IRJET Journal
Â
IRJET-Parametric Optimisation of Gas Metal Arc Welding Process with the Help ...
IRJET-Parametric Optimisation of Gas Metal Arc Welding Process with the Help ...
IRJET Journal
Â
Heat flow prediction in friction stir welded aluminium alloy 1100
Heat flow prediction in friction stir welded aluminium alloy 1100
IAEME Publication
Â
H045054148
H045054148
IJERA Editor
Â
Significancy Test For The Control Parameters Considered In Weld Bead Geometry...
Significancy Test For The Control Parameters Considered In Weld Bead Geometry...
IJMER
Â
M044046973
M044046973
IJERA Editor
Â
Effect and optimization of machining parameters on cutting force and surface ...
Effect and optimization of machining parameters on cutting force and surface ...
eSAT Journals
Â
Ijartes v2-i2-003
Ijartes v2-i2-003
IJARTES
Â
MULTIOBJECTIVE OPTIMIZATION OF MACHINING PARAMETERSFOR C-65 MATERIAL USING TA...
MULTIOBJECTIVE OPTIMIZATION OF MACHINING PARAMETERSFOR C-65 MATERIAL USING TA...
AVINASH JURIANI
Â
Ijariie1151
Ijariie1151
IJARIIE JOURNAL
Â
Implimentation of Taguchi method on CNC EDM and CNC WEDM
Implimentation of Taguchi method on CNC EDM and CNC WEDM
kiranhg
Â
30120140506002
30120140506002
IAEME Publication
Â
Analysis and Improvement of Distortion of Lathe Machine Main Spindle
Analysis and Improvement of Distortion of Lathe Machine Main Spindle
IRJET Journal
Â
Review on the parametric optimizaton of Tig welding
Review on the parametric optimizaton of Tig welding
IRJET Journal
Â
Finite Element Analysis of Single Point Cutting Tool
Finite Element Analysis of Single Point Cutting Tool
IJMER
Â
Optimization of Weld Bead Geometry in Submerged Arc Welds Deposited On En24 S...
Optimization of Weld Bead Geometry in Submerged Arc Welds Deposited On En24 S...
iosrjce
Â
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...
ijsrd.com
Â
J1302024854
J1302024854
IOSR Journals
Â
More Related Content
What's hot
Optimization of mig welding parameters using taguchi optimization technique
Optimization of mig welding parameters using taguchi optimization technique
Vineeth Goud
Â
A012520109
A012520109
IOSR Journals
Â
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...
IRJET Journal
Â
Cp36547553
Cp36547553
IJERA Editor
Â
Optimization of resistance spot welding process parameters of AISI 304l and A...
Optimization of resistance spot welding process parameters of AISI 304l and A...
IRJET Journal
Â
IRJET-Parametric Optimisation of Gas Metal Arc Welding Process with the Help ...
IRJET-Parametric Optimisation of Gas Metal Arc Welding Process with the Help ...
IRJET Journal
Â
Heat flow prediction in friction stir welded aluminium alloy 1100
Heat flow prediction in friction stir welded aluminium alloy 1100
IAEME Publication
Â
H045054148
H045054148
IJERA Editor
Â
Significancy Test For The Control Parameters Considered In Weld Bead Geometry...
Significancy Test For The Control Parameters Considered In Weld Bead Geometry...
IJMER
Â
M044046973
M044046973
IJERA Editor
Â
Effect and optimization of machining parameters on cutting force and surface ...
Effect and optimization of machining parameters on cutting force and surface ...
eSAT Journals
Â
Ijartes v2-i2-003
Ijartes v2-i2-003
IJARTES
Â
MULTIOBJECTIVE OPTIMIZATION OF MACHINING PARAMETERSFOR C-65 MATERIAL USING TA...
MULTIOBJECTIVE OPTIMIZATION OF MACHINING PARAMETERSFOR C-65 MATERIAL USING TA...
AVINASH JURIANI
Â
Ijariie1151
Ijariie1151
IJARIIE JOURNAL
Â
Implimentation of Taguchi method on CNC EDM and CNC WEDM
Implimentation of Taguchi method on CNC EDM and CNC WEDM
kiranhg
Â
30120140506002
30120140506002
IAEME Publication
Â
Analysis and Improvement of Distortion of Lathe Machine Main Spindle
Analysis and Improvement of Distortion of Lathe Machine Main Spindle
IRJET Journal
Â
Review on the parametric optimizaton of Tig welding
Review on the parametric optimizaton of Tig welding
IRJET Journal
Â
Finite Element Analysis of Single Point Cutting Tool
Finite Element Analysis of Single Point Cutting Tool
IJMER
Â
Optimization of Weld Bead Geometry in Submerged Arc Welds Deposited On En24 S...
Optimization of Weld Bead Geometry in Submerged Arc Welds Deposited On En24 S...
iosrjce
Â
What's hot
(20)
Optimization of mig welding parameters using taguchi optimization technique
Optimization of mig welding parameters using taguchi optimization technique
Â
A012520109
A012520109
Â
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...
Â
Cp36547553
Cp36547553
Â
Optimization of resistance spot welding process parameters of AISI 304l and A...
Optimization of resistance spot welding process parameters of AISI 304l and A...
Â
IRJET-Parametric Optimisation of Gas Metal Arc Welding Process with the Help ...
IRJET-Parametric Optimisation of Gas Metal Arc Welding Process with the Help ...
Â
Heat flow prediction in friction stir welded aluminium alloy 1100
Heat flow prediction in friction stir welded aluminium alloy 1100
Â
H045054148
H045054148
Â
Significancy Test For The Control Parameters Considered In Weld Bead Geometry...
Significancy Test For The Control Parameters Considered In Weld Bead Geometry...
Â
M044046973
M044046973
Â
Effect and optimization of machining parameters on cutting force and surface ...
Effect and optimization of machining parameters on cutting force and surface ...
Â
Ijartes v2-i2-003
Ijartes v2-i2-003
Â
MULTIOBJECTIVE OPTIMIZATION OF MACHINING PARAMETERSFOR C-65 MATERIAL USING TA...
MULTIOBJECTIVE OPTIMIZATION OF MACHINING PARAMETERSFOR C-65 MATERIAL USING TA...
Â
Ijariie1151
Ijariie1151
Â
Implimentation of Taguchi method on CNC EDM and CNC WEDM
Implimentation of Taguchi method on CNC EDM and CNC WEDM
Â
30120140506002
30120140506002
Â
Analysis and Improvement of Distortion of Lathe Machine Main Spindle
Analysis and Improvement of Distortion of Lathe Machine Main Spindle
Â
Review on the parametric optimizaton of Tig welding
Review on the parametric optimizaton of Tig welding
Â
Finite Element Analysis of Single Point Cutting Tool
Finite Element Analysis of Single Point Cutting Tool
Â
Optimization of Weld Bead Geometry in Submerged Arc Welds Deposited On En24 S...
Optimization of Weld Bead Geometry in Submerged Arc Welds Deposited On En24 S...
Â
Similar to IRJET- Parametric Optimization of Tig Welding on SS 304 and MS using Taguchi Approach
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...
ijsrd.com
Â
J1302024854
J1302024854
IOSR Journals
Â
C03601011022
C03601011022
theijes
Â
Km3419041910
Km3419041910
IJERA Editor
Â
Ijebea14 225
Ijebea14 225
Iasir Journals
Â
Experimental Analysis on TIG welding process parameters of SS304 By Using Tag...
Experimental Analysis on TIG welding process parameters of SS304 By Using Tag...
IRJET Journal
Â
Experimental Investigation of Welding Parameters for A MIG Welding With SS304...
Experimental Investigation of Welding Parameters for A MIG Welding With SS304...
IRJET Journal
Â
Parametric optimisation of pulsed â tig welding process in butt joining of 30...
Parametric optimisation of pulsed â tig welding process in butt joining of 30...
eSAT Publishing House
Â
Ijariie1151
Ijariie1151
IJARIIE JOURNAL
Â
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science
inventy
Â
Experimental Investigation of Resistance Spot Welding of IF Steel Sheets
Experimental Investigation of Resistance Spot Welding of IF Steel Sheets
IRJET Journal
Â
IRJET- Experimental Investigation for Effect of Vibration on Mechanical Prope...
IRJET- Experimental Investigation for Effect of Vibration on Mechanical Prope...
IRJET Journal
Â
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
IRJET Journal
Â
Study of mechanical properties in mild steel using metal inert gas welding
Study of mechanical properties in mild steel using metal inert gas welding
eSAT Publishing House
Â
RESEARCH PAPER
RESEARCH PAPER
NEERAJ JAIN
Â
RESEARCH PAPER
RESEARCH PAPER
NEERAJ JAIN
Â
Determination of Significant Process Parameter in Metal Inert Gas Welding of ...
Determination of Significant Process Parameter in Metal Inert Gas Welding of ...
IJERA Editor
Â
IRJET- Prediction of Angular Distortion in TIG Welded Stainless Steel 202 She...
IRJET- Prediction of Angular Distortion in TIG Welded Stainless Steel 202 She...
IRJET Journal
Â
Optimization of TIG Welding Process Parameters With SS316 Material Using Tagu...
Optimization of TIG Welding Process Parameters With SS316 Material Using Tagu...
IRJET Journal
Â
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
IRJET Journal
Â
Similar to IRJET- Parametric Optimization of Tig Welding on SS 304 and MS using Taguchi Approach
(20)
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...
Â
J1302024854
J1302024854
Â
C03601011022
C03601011022
Â
Km3419041910
Km3419041910
Â
Ijebea14 225
Ijebea14 225
Â
Experimental Analysis on TIG welding process parameters of SS304 By Using Tag...
Experimental Analysis on TIG welding process parameters of SS304 By Using Tag...
Â
Experimental Investigation of Welding Parameters for A MIG Welding With SS304...
Experimental Investigation of Welding Parameters for A MIG Welding With SS304...
Â
Parametric optimisation of pulsed â tig welding process in butt joining of 30...
Parametric optimisation of pulsed â tig welding process in butt joining of 30...
Â
Ijariie1151
Ijariie1151
Â
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science
Â
Experimental Investigation of Resistance Spot Welding of IF Steel Sheets
Experimental Investigation of Resistance Spot Welding of IF Steel Sheets
Â
IRJET- Experimental Investigation for Effect of Vibration on Mechanical Prope...
IRJET- Experimental Investigation for Effect of Vibration on Mechanical Prope...
Â
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
Experimental Investigation of Multi-Pass, Welding Current & Arc Travel Speed ...
Â
Study of mechanical properties in mild steel using metal inert gas welding
Study of mechanical properties in mild steel using metal inert gas welding
Â
RESEARCH PAPER
RESEARCH PAPER
Â
RESEARCH PAPER
RESEARCH PAPER
Â
Determination of Significant Process Parameter in Metal Inert Gas Welding of ...
Determination of Significant Process Parameter in Metal Inert Gas Welding of ...
Â
IRJET- Prediction of Angular Distortion in TIG Welded Stainless Steel 202 She...
IRJET- Prediction of Angular Distortion in TIG Welded Stainless Steel 202 She...
Â
Optimization of TIG Welding Process Parameters With SS316 Material Using Tagu...
Optimization of TIG Welding Process Parameters With SS316 Material Using Tagu...
Â
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
Â
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
Â
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
Â
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
Â
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
Â
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
Â
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Â
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
Â
A Review of âSeismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of âSeismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
Â
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Â
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
Â
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
Â
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Â
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Â
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
Â
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
Â
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
Â
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Â
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Â
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Â
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
Â
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...
Â
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
Â
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...
Â
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
Â
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...
Â
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Â
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Â
A Review of âSeismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of âSeismic Response of RC Structures Having Plan and Vertical Irreg...
Â
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Â
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Â
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
Â
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Â
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Â
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
Â
React based fullstack edtech web application
React based fullstack edtech web application
Â
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
Â
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Â
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Â
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Â
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Â
Recently uploaded
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
Â
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
RajaP95
Â
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
NikhilNagaraju
Â
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
soniya singh
Â
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
ranjana rawat
Â
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
JoĂŁo Esperancinha
Â
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
wendy cai
Â
Extrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
120cr0395
Â
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
srsj9000
Â
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
GDSCAESB
Â
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
ranjana rawat
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
ranjana rawat
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Â
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
Â
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Suhani Kapoor
Â
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
RajkumarAkumalla
Â
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
hassan khalil
Â
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
Â
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
misbanausheenparvam
Â
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Â
Recently uploaded
(20)
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
Â
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
Â
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
Â
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
Â
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
Â
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Â
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
Â
Extrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
Â
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Â
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
Â
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Â
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
Â
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Â
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
Â
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
Â
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Â
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
Â
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Â
IRJET- Parametric Optimization of Tig Welding on SS 304 and MS using Taguchi Approach
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 p-ISSN: 2395-0072Volume: 06 Issue: 05 | Apr 2019 www.irjet.net © 2019, IRJET Impact Factor value:7.211 ISO 9001:2008 Certified Journal | Page 880 PARAMETRIC OPTIMIZATION OF TIG WELDING ON SS 304 AND MS USING TAGUCHI APPROACH Vishal Chaudhari1, Vaibhav Bodkhe2, Shubham Deokate3 , Bhupendra MaliâŽ, Rayappa Mahaleâ” 1234UG Student, Dept of Mechanical Engineering, D Y Patil Technical Campus, Ambi , Maharashtra , India. 5Assistant Professor, Dept of Mechanical Engineering, D Y Patil Technical Campus, Ambi , Maharashtra , India. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract â In this research paper we used stainless steel 304 and mild steel material. In which stainless steel 304 material has good inter-granular corrosion resistancewhich increase the life span of pressure vessels and automobile components. TIG welding is most vitaland common operation used for joining of two similar or dissimilar parts with heating the material or applying the pressure by using the filler material for increasing productivity with less time and cost constrain. We have used Taguchiâs method of optimization to optimize the various process parameters such as Current, Voltage, and Gas Flow Rate (GFR) which has influence on tensile strength and hardness of the joint. A Taguchi Orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate the welding characteristics of dissimilar joint and optimize the welding parameters. Key Words: TIG Welding, Taguchi Orthogonal Array, Tensile Strength, Hardness, S/N Ratio, ANOVA 1.INTRODUCTION Welding is a process in which we join two similar or dissimilar metals or non metals by applying pressure ornon pressure. Gas tungsten arc welding, GTAW, also known as tungsten inert gas welding, is an arc welding process that uses a non consumable tungsten electrode for establishing an electric arc. Weld area is protected by shielding gaseslike argon or helium. It is generally used for welding hard-to- weld metals suchasStainlessSteels,Magnesium,Aluminium, and Titanium. TIG welding is most commonly used to weld thin sections. For welding stainless steel we use direct current with negative electrode. Direct currentwithpositive electrode is very less common and used rarely. Fig :-1 Principle Of TIG Welding Ramesh Rudrapati [6] who carried out experiment on Parametric Optimization of TIG Welding Process in Butt Joining of Mild Steel and Stainless Steel. In this paper welding parameters are analyzed and optimized in TIG welding of dissimilar materials (mild steel and stainless steel) to maximize the ultimate load and breaking load simultaneously by using grey relational analysis combined with Taguchi method. Kumar Rahul Anand [4] who carried out experiment on parametric optimization of CO2 welding which is done on stainless steel the process parameter where current, voltage and gas flow rate (GFR) statistical technique, analysisofvariance(ANOVA),signaltonoiseratio and graphically main effect plot have been used to study the effect of welding parameters on which ultimate load of weld specimen optimum parametric condition obtained by the Taguchi method. Ajit Khatter [11] in this paper, the use of the L9 orthogonal array, with three control parameters allowed this study to be conducted with a sample of18 work pieces. The study found that the control factors had varying effects on the Tensile strength, welding voltage having the highest effects. Ravinder & S.K.Jarial [9] studied the Parametric Optimization of TIG welding on stainless steel (202) and mild steel by using Taguchi method and found the control factor which had varying effect on the tensile strength, arc voltagehavingthehighest effectandalsofoundtheoptimum parameterfor tensilestrength current 80A, Arcvoltage30V and GFR 6 lt/min. 2. Taguchi Method Taguchi method isa powerful problem solving tool,which is used to improve the performance of a process without havingto conducta large number of experiments. Thissaves time and reduces thecost of experimentation.Thistechnique has been applied for carrying out robust design of processes and products and solving many critical problems in manufacturing industries. It joins the experimental design theory and quality reduce function concept for solving problem, critical situations arise when a large number of process parameters to be dealt with, as the number of trials to be conducted have to match with the number of influencing parameters, to reach at any tangible real conclusion. In such cases, it is possible to find the most influential parameter for improving the overall efficiency of
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 p-ISSN: 2395-0072Volume: 06 Issue: 05 | Apr 2019 www.irjet.net © 2019, IRJET Impact Factor value:7.211 ISO 9001:2008 Certified Journal | Page 881 any process using Taguchi concept by conducting few experiments. 2. METHODOLOGY a) Selection of material (SS 304 and Mild Steel (Low Carbon). b) Process Parameter Selection (Welding Current, Arc Voltage, & Gas Flow). c) Sample Preparation (Cutting, Welding etc.). d) Specimen for Tensile Test and Rockwell Hardness Test. e) Analysis of results. Material Selection Stainless Steel Stainless steels are most notable for the corrosion resistance, which increases with increasing chromium content. Additions of molybdenum increase corrosion resistance in reducing acids and against pitting attack in chloride solutions. Thus, there are numerous grades of stainless steel with varying chromium and molybdenum contents to suit the environment the alloy must endure. Stainless steels resistance to corrosion and staining, low maintenance, and familiar luster make it an ideal material for many applications where both the strength of steel and corrosion resistance are required. Chemical Composition Element Cr Ni Mn N S C Si P % 18 8 2 0.10 0.03 0.08 0.75 0.045 Mild steel Mild steel is a type of carbon steel with a low amount of carbon â it is actually also known as âlow carbon steel.â Although ranges vary depending on the source, the amount of carbon typically found in mild steel is 0.05% to 0.25% by weight, whereas higher carbon steels are typicallydescribed as having carbon content from 0.30% to 2.0%. If any more carbon than that is added, the steel would be classified as cast iron. Element C Si Mn S P % 0.16- 0.18 0.40 0.70- 0.90 0.040 0.040 Signal to Noise (S/N) Ratio Taguchi method stresses the necessity of studying the response variation using the signal-to-noise ratio, resulting to decrease the effect of quality characteristic variation due to uncontrollable parameter. The S/N ratio can be used in three types: Where, n = Number of trials or measurement yi = measured value Èł = mean of measured value s = standard deviation ANOVA (Analysis Of Variance) The purpose of the analysis of variance (ANOVA) is to investigate which design parameters significantly affect the quality characteristic. This is accomplishedby separatingthe total variability of the S/N ratios, which is measured by the sum of the squared deviations from the total meanS/N ratio, into contributions by each of the design parameters and the error. First, the total sum of squared deviations SSTfromthe total mean S/N ratio nm can be calculated as, SST = ÎŁ (ni - nm)2 Where, ni = S/N ratio experiment. nm = total mean of S/N ratio. 3. Experimentation and work The plan has been made and work-piece materials (i.e. mild steel and stainless steel304) have been cut into desired dimensions (150*150*6mm). The welding parameters to this project are taken as current, voltage and gas flow rate. The S/N ratio for each level of process parameters is computed based on S/N analysis. Further, statistical ANOVA was performed to indicate which process parameters are significant. Welds are made under varied conditions of welding as given L9 orthogonal array of Taguchi method. Table-1: Process Parameters 1.Larger the better 2.Smaller the better 3.Nominal the best Where, n= Number of trials or measurement, Y = Sr. No. Process Parameter Unit s level 1 2 3 1 Welding Current Amp 150 200 250 2 Arc Voltage Volt 22 24 26 3 Gas Flow Rate L/mi n 10 12 14
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 p-ISSN: 2395-0072Volume: 06 Issue: 05 | Apr 2019 www.irjet.net © 2019, IRJET Impact Factor value:7.211 ISO 9001:2008 Certified Journal | Page 882 Table-2: Universal Testing Machine Results Run Current Voltage Gas Flow Rate Tensile Hardness 1 150 22 10 368.38 82.3 2 150 24 12 403.333 82.1 3 150 26 14 504.94 88.8 4 200 22 10 403.76 83.33 5 200 24 12 375.57 78.5 6 200 26 14 314.30 78.4 7 250 22 10 340.77 62.6 8 250 24 12 343.61 70.9 9 250 26 14 319.72 80.4 4. Result & Discussion Tensile Test Tensile testing has been done on the welded specimens. It was done on Universal Testing Machine (UTM). The value of tensile strength has been observed and then S/N ratio has been calculated manually as well as using software called MINITAB. The effect of each parameter on welding has been calculated and with the help of ANOVA, their percentage contribution is also evaluated. Table-3: Reading of Tensile Strength and S/N ratio Calculation for S/N Ratio: We know S/N ratio for larger is better is: For 1st run: n = 1 because we get the result in single trial y = 368.38 (observed value) So, S/N = -10 log (1/ 368.38) = 51.32 Similarly we have calculated S/N Ratio for every run. Fig-3: Graph for S/N Ratio of Different parameters For Tensile Strength. Table-4: Mean Response Table for Signal to Noise Ratio for Tensile Strength Larger is better Level Current Voltage Gas Flow Rate 1 52.50 51.37 50.66 2 51.19 51.44 51.44 3 50.49 51.37 52.07 Delta 2.01 0.08 1.40 Rank 1 3 2 In Taguchi experiments, we always want to Maximize the S/N ratios and the means were maximized. when the Current was 150, the Gas Flow Rate was 10 and the arc voltage was 24. Based on these results, we should set the factor at the calculated value. Run current (amp) (volt) GFR n) strength (mpa) S/N ratio 150 22 10 368.38 51.32 150 24 12 403.333 52.11 150 26 14 504.94 54.06 200 22 10 403.76 52.12 200 24 12 375.57 51.19 200 26 14 314.30 49.94 250 22 10 340.77 50.64 250 24 12 343.61 50.72 250 26 14 319.72 50.09
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 p-ISSN: 2395-0072Volume: 06 Issue: 05 | Apr 2019 www.irjet.net © 2019, IRJET Impact Factor value:7.211 ISO 9001:2008 Certified Journal | Page 883 Table No:-5Analysis of Variance for Transformed Response Hardness Test The Rockwell hardness test method, as defined in ASTM E- 18, is the most commonly used hardness test method. The micro-structure of each zone has also been observed and captured for better understanding. The samples were prepared accordingly and all 9 samples are tested for hardness. The 9 samples for hardness test are prepared ona mould of Bakelite Powder. Table-6: Response of Hardness with S/N ratio: Fig-3: Graph for S/N Ratio of Different parameters For Hardness Test Table-:7 Mean Response Table for Signal to Noise Ratio For Tensile Strength Larger is Better Level Current Voltage Gas Flow Rate 1 38.52 37.55 37.74 2 38.07 37.73 38.27 3 37.02 38.32 37.60 Delta 1.50 0.77 0.67 Rank 1 2 3 Fromthe above tablewehaveobservedthattheHardness of taken specimen will be higher when the arc current is maintained at 150 A, arc voltage at 22V and gas flow rate at 12 L/min thus we find these parameters are optimum for this experiment and we have the ANOVA result in below table. ce D O F Seq ss Contri Adj SS Adj MS F- Valu e p- Valu e CUR REN T 9693. 4 48.55 9693 .4 4846. 1.89 0.34 VOL 817. 0 4.09% 817. 408.5 0.16 0.86 GFR 4331. 9 21.70 4331 .9 2165. 0.85 0.54 ERR OR 5124. 9 25.67 5124 .9 2562. Total 19967. 100.00 Run Current Voltage Gas Flow Rate Hardness S/N ratio 150 22 10 82.3 38.30 150 24 12 82.1 38.28 150 26 14 88.8 38.96 200 22 10 83.33 38.41 200 24 12 78.5 37.89 200 26 14 78.4 37.88 250 22 10 62.6 35.93 250 24 12 70.9 37.01 250 26 14 80.4 38.10
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 p-ISSN: 2395-0072Volume: 06 Issue: 05 | Apr 2019 www.irjet.net © 2019, IRJET Impact Factor value:7.211 ISO 9001:2008 Certified Journal | Page 884 4. Mathematical Model A mathematical model can be developed for above experiment. Using multiple linear regression and correlation analysis, mathematical models for Ra is obtained as follows: As Ra is a function of more than one independent variable; the matrix equations that express therelationshipsamongthevariablescanbeexpandedto accommodate the additional data. Ra = a0 + a1 x1 + a2 x2 + a3 x3 + a4 x4 Where, a0, a1, a2, a3 and a4 are the constant coefficient and x1= Welding current (I) x2= Welding voltage(V) x3= Gas flow Rate(G) A multivariate model of the data is multiple regressions solves for unknown coefficients by performing a least squares fit. Construct and solve the set of simultaneous equations by forming the regression matrix, X, and solving for the coefficients usingthebackslashoperator. X = [ones (size(x1)) x1 x2 x3]; the least squares fit model of thedata istovalidatethe model,findthemaximumofthe absolute value of the deviation of the data from the model. Y = X*a; The regression equation is Tensile=338 - 0908CURRENT + 1.09VOL + 16.25GFR 5. Conclusions 1. The use of the L9 orthogonal array, with three control parameters allowed thisstudy to beconductedwithasample of 18 work pieces (9workpiece of SS304 and 9workpiece of Mild Steel). 2. Thestudy found thatthe control factorshadvaryingeffects on the Tensile strength, welding current having the highest effects. 3. Optimum parameter setting for weld strength is obtained at current of 150 amps, 24 volt, and 10-litre/min-gas flow. 4. Formulation of equation for tensile strength- Tensile Strength =338-0.908CURRENT+1.09VOL16.25GFR 5. Optimum parameter setting for Hardness is obtained at current of 150 amps, 22 volt, and 12-litre/min-gas flow. 6.Formulation of equation for hardness, Hardness=88.7-0.1310CURRENT+0.808VOL-0.14GFR 6. References 1. BhushanP Jain,Darshan VSanghavi, RayappaSMahale âParametric OptimizationOfCo2WeldingOnFe410Using Taguchi Techniqueâ Volume: 06 Issue: 04 Apr 2019, e- ISSN: 2395-0056, p-ISSN: 2395-0072. 2. Devesh Goyal, Pavan Agrawal âOptimization of Welding Parameters of TIG Welding on Welding Strength using Taguchi and ANOVAâ Volume 6 Issue III, March 2018, ISSN: 2321-9653. 3. Shahin Ansari ,Quazi T.Z âOptimisation of Tig Welding Parameters byusing Taguchiâs Approachâ Volume8, Issue 2, February-2017, ISSN 2229-5518. 4. Kumar Rahul Anand, Vijay Mittal âParameteric Optimization Of Tig Welding On Joint Of Stainless Steel(316) & Mild Steel Using Taguchi Techniqueâ Volume: 04 Issue: 05 May -2017, e-ISSN: 2395 -0056, p-ISSN: 2395-0072. 5. Sanjay Kumar, Pravin KumarSingh,DharmendraPatel,S.B. Prasad âOptimization Of Tig Welding Process Parameters Using Taguchiâs Analysis And Response Surface Methodologyâ Volume 8, Issue 11, November 2017, ISSN: 0976-6340 and ISSN: 0976-6359. 6. .RameshRudrapati,NirmalendhuChowdhury ,Aasish Bandyopadhyay âParametricOptimizationofTIGWelding Process in Butt Joining of Mild Steel and StainlessSteelâ Oct 2016 ,E-ISSN 2277 â 4106, P-ISSN 2347 â 5161. 7. M.Prabhandha, Prasad Rayala âParametric Optimization Of Tig Welding Using Taguchi Methodâ Volume 1, Issue 1 (2016, Sept/Oct), (Issn-Xxxx-Xxxx) AnveshanaâsInternationalJournalOfRecentAdvancesIn ce D F Seq ss Contri Adj SS Adj MS F- Valu e p- Valu e CUR REN T 228.13 58.09 228. 13 114.0 3.43 0.22 VOL 65.89 16.78 65.8 32.94 0.99 0.50 GFR 32.19 8.20% 32.1 16.10 0.48 0.67 ERR OR 66.51 16.94 66.5 33.26 Total 392.72 100.00 Table-8: ANOVA of Variance for S/N Ratio Hardness Hardness=88.7- 0.1310CURRENT + 0.808VOL-0.14GFR
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 p-ISSN: 2395-0072Volume: 06 Issue: 05 | Apr 2019 www.irjet.net © 2019, IRJET Impact Factor value:7.211 ISO 9001:2008 Certified Journal | Page 885 Manufacturing, Quality And Operation Management Research. 8. Prashant Kumar Singh, Pankaj Kumar,BaljeetSingh,Rahul Kumar Singh âA review on TIG welding for optimizing process parameters on dissimilar jointsâ ISSN :2248-9622, Vol. 5, Issue 2, February 2015. 9. Ravinder, S. K. Jarial âParametric Optimization of TIG Welding on Stainless Steel (202) & Mild Steel by using Taguchi Methodâ Vol. 4 Issue 6, June-2015, ISSN: 2319- 7463. 10. . Nirmalendhu Choudhury, Ramesh Rudrapati and Asish Bandyopadhyay âDesign optimization of Process Parameters for TIG Welding based on Taguchi Methodâ Special Issue-2, (February 2014), E-ISSN 2277â 4106, P- ISSN 2347 â 5161. 11. Ajit Khatter, Pawan Kumar, Manish Kumar âOptimizationof Process ParameterinTIGWeldingUsing Taguchi of Stainless Steel-304â IJRMET Vol. 4, IssuE 1, NoV 2013 - ApRIl 2014, ISSN : 2249-5762 ISSN : 2249- 5770. 12. J.Pasupathy, V.Ravisankar âParametric Optimization Of Tig Welding Parameters Using Taguchi Method For Dissimilar Jointâ Volume 4, Issue 1, Novmber-2013 ISSN 2229-5518. BIOGRAPHIES: Shubham Tatyaso Deokate is now pursuing his Bachelor of Engineering in Mechanical Engineering at D. Y. Patil School of Engineering Academy, Ambi, Pune. He is presently working on the project of Parametric Optimization of TIG Welding On SS304 and MS Using Taguchi Technique. Vishal Jayant Chaudhari is now pursing his Bachelor of Engineering in Mechanical Engineering at D.Y.Patil School of Engineering Academy, Ambi, Pune. He is presently working on the project of Parametric Optimization of TIG Weldingon SS304 and MS Using Taguchi Technique. Vaibhav Dilip Bodkhe is now pursing his Bachelor of Engineering in Mechanical Engineering at D.Y.Patil School of Engineering Academy, Ambi, Pune. He is presently working on the project of Parametric Optimization of TIG Welding On SS304 and MS Using Taguchi Technique. Bhupendra Mali is now pursing his Bachelor of Engineering in Mechanical Engineering at D.Y.Patil School of Engineering Academy, Ambi, Pune. He is presently working on the project of Parametric Optimization of TIG Welding on SS304 and MS Using Taguchi Technique. Rayappa S Mahale received Bachelorâs degree in Industrial and Production Engineering and Masterâs degree in Production Mechanical Engineering at D. Y. Patil School of Engineering Academy, Ambi, Pune, India. His areas of interests are Lean Manufacturing, Industrial Robotics, Advanced Ergonomics, Process Metallurgy, Mechatronics, MicroFabrication and MEMS. .
Download now