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100   $a20140421h20142014  uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aRsm $ea key to optimize machining : multi-response optimization of CNC turning with Al-7020 alloy /$fBikram Jit Singh, Harsimran Singh Sodhi
210  1$aHamburg, Germany :$cAnchor Academic Publishing,$d2014.
210  4$d?2014
215   $a1 online resource (118 p.)
300   $aDescription based upon print version of record.
311   $a3-95489-209-X 
320   $aIncludes bibliographical references.
327   $aRSM: A Key to Optimize Machining; ACKNOWLEDGEMENTS; PREFACE; Contents; List of figures; List of Tables; CHAPTER 1: MACHINING AND CNC MACHINING; 1.1 Machining: An Introduction; 1.2 Machining Operations; 1.3 An Overview of Machining Technology; 1.4 CNC Lathe / CNC Turning Center; 1.5 Present Work; 1.6 Machining Parameters; 1.7 Summary; CHAPTER 2: CUTTING TOOLS; 2.1 Tools; 2.2 Multiple Cutting-Edge Tools; 2.3 Stages in Metal Cutting; 2.4 Tool Material; 2.5 Tool Wear; CHAPTER 3: ALUMINIUM AND ITS ALLOYS; 3.1 Aluminium; 3.2 Fundamentals of Aluminum Alloys; CHAPTER 4: RESPONSE SUFRFACE METHODOLOGY
327   $a4.1 RSM4.2 Outline of ANOVA; 4.3 Considered Responses; 4.4 Motivation of Study; CHAPTER 5: BACKGROUND OF MACHINING OPTIMIZATION; CHAPTER 6: MACHINING OF ALUMINIUM AND ITS ALLOYS; 6.1 CNC Machining; 6.2 Methodology Proposed; CHAPTER 7: MACHINING OPTIMIZATION: A CASE STUDY; 7.1 Machining Parameters along with their Levels; 7.2. RSM Matrix; 7.3. Execution of Designed Experiments; 7.4. RSM Statistics for MRR; 7.5 Graphical Inferences for MRR; 7.6 RSM Statistics for Ra; 7.7 Inferences for Ra; 7.8 RSM Solution; 7.9. Validation of Solution through ANOVA; 7.10 Relation In Between Responses
327   $aCHAPTER 8: CONCLUSIONS & SCOPE8.1 Conclusion; 8.2 Scope for Future; REFERENCES; WEB-SOURCES; BIOGRAPHICAL NOTES
330   $aParametric optimization, especially in machining of non-ferrous alloys seems to be quite rare and needs an immediate attention because of its associated downstream financial and non-financial losses. This book tries to fill the gap and presents an optimization problem of commonly used Al-7020 Alloy. Principles of Response Surface Methodology (RSM) have been implemented through Minitab software to bring necessary multi-response optimization, while turning on a CNC turner. The present study focuses on to enhance Material Removal Rate (MRR) while simultaneously reducing the Surface Roughness (Ra)
606   $aExperimental design$xGraphic methods
606   $aResponse surfaces (Statistics)$zGermany
615  0$aExperimental design$xGraphic methods.
615  0$aResponse surfaces (Statistics)
676   $a001.434
700   $aSingh$b Bikram Jit$01579350
702   $aSodhi$b Harsimran Singh
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910788000703321
996   $aRsm$93859374
997   $aUNINA