Titlebook: Optimization of Manufacturing Processes; Kapil Gupta,Munish Kumar Gupta Book 2020 Springer Nature Switzerland AG 2020 Evolutionary Techniq

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Modelling and Optimization of Alpha-set Sand Moulding System Using Statistical Design of Experimentvity, high rejection and cost. Hence, current research in foundries focussed towards development of statistical modelling and optimization tools. The present research work is focused on modelling and optimization of Alpha-set moulding sand system. The variables such as percent of resin and hardener,

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Optimization of Accuracy and Surface Finish of Drilled Holes in 350 Mild Steel,ments (DoEs), analysis of variance (ANOVA) and other traditional methods were applied to optimize the input variables in order to minimise the circularity, cylindricity, diameter error and surface roughness of drilled holes. It was found that point angle was the highest contributor for the circulari

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Modelling and Optimization of Laser Additive Manufacturing Process of Ti Alloy Composite,s as well as repair of worn-out high valued engineered parts. The functional performance of laser metal deposition process is greatly dependent on its process parameters; therefore, considering the type of job and nature of material, they need to be adequately optimized before a job can be successfu

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Prediction and Optimization of Tensile Strength in FDM Based 3D Printing Using ANFIS,o create components having any geometric complexity in shorter duration, without any specific tooling requirement or human intervention. FDM fabricated parts have found many promising application in various industries such as aerospace, automobile, medical, customizable products etc. However, the ap

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Optimization of Abrasive Water Jet Machining for Green Composites Using Multi-variant Hybrid Techniroperties led PMCs parts were extensively used in structural, aviation, construction and automotive applications. The advanced machining process abrasive water jet machining (AWJM) has been explored to machine PMCs. The AWJM factors namely abrasive grain size, working pressure, standoff distance, no

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An Integrated Fuzzy-MOORA Method for the Selection of Optimal Parametric Combination in Turing of Cain the best parametric combination during machining of commercially pure titanium (CP-Ti) Grade 2 with uncoated carbide inserts in dry cutting environment. A series of experiment was performed by adopting Taguchi based L. orthogonal array. Cutting speed, feed rate, and depth of cut were selected as

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Application of Multi-objective Genetic Algorithm (MOGA) Optimization in Machining Processes,g multi-objective optimization related problems with the capability to explore the diverse regions of the solution space. Thus, it is possible to search a diverse set of solutions with more variables that can be optimized at one time. Solutions of MOGA are illustrated using the Pareto fronts. A Pare

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