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Machining has been one of the most sort of process for realizing different products. It has significant role in the value additions process. Machining is one of the production process where material is removed from the parent material to realize the final part or component. Among machining, the well known machining processes are turning, milling, shaping, grinding and non-conventional machining processes like electric discharge machining, ultrasonic machining, chemical machining etc. The fundamental of all these processes being material removal in the form of chips using a tool either in contact or not in contact. In the present work, milling is being taken for study Finite element analysis is being used as a tool to understand the different phenomenon that underlies the machining processes. Of late, the machining induced residual stresses is of great interest to the researchers since the residual stresses have an impact on the functional performances. The present work is to model the milling process to predict the forces and residual stresses using finite element method. Unlike many researchers, the authors have attempted to develop oblique cutting model rather than an orthogonal cutting model. The present work was carried out on AISI 1045 steel.

In developing country like India, agriculture is the main stay of the economy. Agricultural industries and related activities can account for a considerable proportion of their output. The main objective of fruit and vegetable processing is to supply wholesome, safe, nutritious and acceptable food to consumers throughout the year. Processing requires frequent handling, high temperature and pressure. Many of the ordinary varieties of tomatoes, for instance, are not suitable for making paste or other processed products. Simulation was carried out for the updated model for a period of ten days with five replications. From the results obtained from the design of experiments, noises in the factors (steam losses, minor stoppages) were reduced by implementing the mentioned techniques. The runs are randomised using MINITAB software. A cost matrix was made to create a trade-off between all factors that were affecting the performance. This resulted in the increase of throughput rate in the real scenario. This research project demonstrates the practical application of design of experiments showing how it can bring real breakthroughs in productivity of fruit (tomato) processing industry.