P. K. Jain

TL;DR: In this paper, a study has been made to optimize the process parameters during machining of SiCp/6061 Al metal matrix composite (MMC) by wire electrical discharge machining (WEDM) using response surface methodology (RSM).

TL;DR: In this paper, a mixed-integer nonlinear programming model is proposed to design the dynamic cellular manufacturing systems (DCMSs) under dynamic environment, where the objective is to minimize the sum of various costs such as intracell movement costs; intercell movement costs and machine procurement costs; setup cost; cutting tool consumption costs; machine operation costs; production planning-related costs, such as internal part production cost, part holding costs, and subcontracting costs; system reconfiguration costs; and machine breakdown repair cost, production time loss cost due to machine breakdown, machine maintenance overheads

TL;DR: In this article, a scheme for integration of process planning and scheduling has been introduced, which consists of two main modules, which are process plan selection module and scheduling module, which can be implemented in a company with existing process and scheduling departments when multiple process plans remain available on the shop floor.

TL;DR: Tolerance design has become a very sensitive and important issue in product and process development because of increasing demand for quality products and the growing requirements for automa as discussed by the authors, and it is a very important issue to be considered.

TL;DR: In this article, the authors describe the response surface methodology (RSM) and artificial neural network (ANN) based mathematical modeling for average cutting speed of SiCp/6061 Al metal matrix composite (MMC) during wire electric discharge machining (WEDM).