Research
A Fuzzy-Multicritaria Based Approach for Job Sequencing and Routing In Flexible Manufacturing System FMS
Flexible manufacturing systems (FMS) are production systems consisting of identical multipurpose numerically controlled machines (workstations), automated material handling system, tools, loading and unloading stations, inspection stations, storage areas and a hierarchical control system. Job sequencing and routing are fundamental components of FMS A flexible manufacturing system (FMS) is a manufacturing system in which there is some flexibility that allows the system to react in the case of changes. Scheduling of an FMS is very complicated, particularly in dynamic environment. A simulation based FMS scheduling system can take into account these uncertainties and perform accordingly. Fuzzy logic based simulation is easy to apply and can consider a number variables with reasonable amount of accuracy. Here the proposed model will prioritize the job and select the best alternative route with multi-criteria scheduling through an approach based on a fuzzy logic. There are three criteria for both the job sequencing and routing with 27 rules. With the help of the rules the sequence of the jobs are done and the best route is selected.
Numerical Modeling of Surface Roughness in Grinding under Minimum Quantity Lubricants (MQL) using Response Surface Method (RSM)
Grinding is primarily a finishing operation where high temperature at the wheel-work interface adversely affects the physical properties of the ground surface in terms of induced surface and sub surface residual stress, surface roughness, micro cracks and dimensional deviation. Conventional application of cutting fluid often cannot control the high temperature generated especially during high speed grinding. Besides, environmental pollution, effect on human health and higher cost has been a great concern of researchers and industries. One of the possible solutions of such problems is the Minimum Quantity Lubricants (MQL) technique which has both economical and environmental advantages. The present investigation is to evaluate the influence of MQL on chip formation mode and surface roughness in grinding AISI 1045 steel with CBN wheel at different level of process parameters. The result indicated that, MQL enables the reduction in surface roughness and more favorable chip formation mode compared to dry grinding. The whole experiment has been repeated with Alumina wheel under same experimental conditions to assess the performance of CBN wheel. A Response Surface model has been developed to predict the surface roughness while grinding AISI 1045 steel with CBN wheel under MQL technique. The model is then checked and validated by comparing with experimental results and found reasonably accurate.
