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Application of soft computing techniques in machining performance prediction and optimization: a literature review
Machining is one of the most important and widely used manufacturing processes. Due to complexity and uncertainty of the machining processes, of late, soft computing techniques are being preferred toExpand
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A knowledge-based system for the prediction of surface roughness in turning process
Abstract In the present work, a knowledge-based system is developed for the prediction of surface roughness in turning process. Neural networks and fuzzy set theory are used for this purpose.Expand
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Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process
Abstract Prediction of surface finish and dimensional deviation is an essential prerequisite for developing an unmanned turning center. It is also important for optimization of turning process. InExpand
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A neural-network-based methodology for the prediction of surface roughness in a turning process
A neural-network-based methodology is proposed for predicting the surface roughness in a turning process by taking the acceleration of the radial vibration of the tool holder as feedback. Upper, mostExpand
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Multi-objective optimization of multipass turning processes
In this paper, a methodology is proposed for the multi-objective optimization of a multipass turning process. A real-parameter genetic algorithm (RGA) is used for minimizing the production time,Expand
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Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods (Engineering Materials and Processes) (Engineering Materials and Processes)
The physics of metal forming and metal removing is normally expressed using non-linear partial differential equations which can be solved using the finite element method (FEM). However, when theExpand
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A neural network-assisted finite element analysis of cold flat rolling
The finite element analysis of the cold flat rolling process is well established. Expand
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Application of radial basis function neural networks in optimization of hard turning of AISI D2 cold-worked tool steel with a ceramic tool
Abstract In this work, the optimization of a finish hard turning process for the machining of D2 steel with ceramic tools is carried out. With the help of replicate experimental data at 27 differentExpand
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A comparison of dry and air-cooled turning of grey cast iron with mixed oxide ceramic tool
Abstract The present work compares the performance of a mixed oxide ceramic tool in dry and air-cooled turning of grey cast iron. First, the study was done in the range of process parameters whereExpand
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Incorporation of material behavior in modeling of metal forming and machining processes: A review
Abstract Manufacturing process modeling is gaining importance in view of stiff global competition to produce the goods of specified design in an optimal way. In particular, metal forming andExpand
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