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Data-driven optimization of manufact...
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Kalita, Kanak, (1988-)
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Data-driven optimization of manufacturing processes
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data-driven optimization of manufacturing processes/ Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors.
其他作者:
Kalita, Kanak,
出版者:
Hershey, Pennsylvania :IGI Global, : 2021.,
面頁冊數:
1 online resource (xvi, 298 p.)
內容註:
Chapter 1. Minimization of casting defects using Taguchi method -- Chapter 2. Evaluation of optimum parameters for casting of Birla Lance pipes -- Chapter 3. Investigating the effect of process parameters in incremental sheet forming process -- Chapter 4. Optimization of surface roughness in centreless grinding process based on Taguchi method -- Chapter 5. MOORA-driven decision making to select the optimal specimen of organic CMCs -- Chapter 6. TOPSIS-based selection of optimal proportion among different combinations of hybrid AMCs -- Chapter 7. A comparative assessment of TOPSIS variants in multi-attribute optimization of EDM process parameters -- Chapter 8. An integrated CRITIC-MARCOS technique for analysing the performance of steel industry -- Chapter 9. Data-driven genetic programming-based symbolic regression metamodels for EDM process -- Chapter 10. Machine learning-based predictive modelling of dry electric discharge machining process -- Chapter 11. Non-traditional machining process selection: a holistic approach from a customer standpoint -- Chapter 12. Parametric optimization of electrochemical discharge machining using particle swarm optimization algorithm -- Chapter 13. Optimization of drilling parameters for composite laminate using genetic algorithm -- Chapter 14. Solution for multi-objective single row facility layout problem using PSO algorithm -- Chapter 15. Progress in optimization of physical vapor deposition of thin films.
標題:
Manufacturing processes - Data processing. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1
ISBN:
9781799872085 (ebk.)
Data-driven optimization of manufacturing processes
Data-driven optimization of manufacturing processes
[electronic resource] /Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (xvi, 298 p.)
Includes bibliographical references and index.
Chapter 1. Minimization of casting defects using Taguchi method -- Chapter 2. Evaluation of optimum parameters for casting of Birla Lance pipes -- Chapter 3. Investigating the effect of process parameters in incremental sheet forming process -- Chapter 4. Optimization of surface roughness in centreless grinding process based on Taguchi method -- Chapter 5. MOORA-driven decision making to select the optimal specimen of organic CMCs -- Chapter 6. TOPSIS-based selection of optimal proportion among different combinations of hybrid AMCs -- Chapter 7. A comparative assessment of TOPSIS variants in multi-attribute optimization of EDM process parameters -- Chapter 8. An integrated CRITIC-MARCOS technique for analysing the performance of steel industry -- Chapter 9. Data-driven genetic programming-based symbolic regression metamodels for EDM process -- Chapter 10. Machine learning-based predictive modelling of dry electric discharge machining process -- Chapter 11. Non-traditional machining process selection: a holistic approach from a customer standpoint -- Chapter 12. Parametric optimization of electrochemical discharge machining using particle swarm optimization algorithm -- Chapter 13. Optimization of drilling parameters for composite laminate using genetic algorithm -- Chapter 14. Solution for multi-objective single row facility layout problem using PSO algorithm -- Chapter 15. Progress in optimization of physical vapor deposition of thin films.
"This book is a compilation of chapters on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization, offering both soft computing approaches and machining processes"--
ISBN: 9781799872085 (ebk.)Subjects--Topical Terms:
654415
Manufacturing processes
--Data processing.
LC Class. No.: TS155.6 / .D38 2021
Dewey Class. No.: 670.285
Data-driven optimization of manufacturing processes
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Chapter 1. Minimization of casting defects using Taguchi method -- Chapter 2. Evaluation of optimum parameters for casting of Birla Lance pipes -- Chapter 3. Investigating the effect of process parameters in incremental sheet forming process -- Chapter 4. Optimization of surface roughness in centreless grinding process based on Taguchi method -- Chapter 5. MOORA-driven decision making to select the optimal specimen of organic CMCs -- Chapter 6. TOPSIS-based selection of optimal proportion among different combinations of hybrid AMCs -- Chapter 7. A comparative assessment of TOPSIS variants in multi-attribute optimization of EDM process parameters -- Chapter 8. An integrated CRITIC-MARCOS technique for analysing the performance of steel industry -- Chapter 9. Data-driven genetic programming-based symbolic regression metamodels for EDM process -- Chapter 10. Machine learning-based predictive modelling of dry electric discharge machining process -- Chapter 11. Non-traditional machining process selection: a holistic approach from a customer standpoint -- Chapter 12. Parametric optimization of electrochemical discharge machining using particle swarm optimization algorithm -- Chapter 13. Optimization of drilling parameters for composite laminate using genetic algorithm -- Chapter 14. Solution for multi-objective single row facility layout problem using PSO algorithm -- Chapter 15. Progress in optimization of physical vapor deposition of thin films.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1
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