Die Life Prediction of Connecting Rod SIFL-175

This work mainly focuses on the life prediction of hot forging dies of connecting rod SIFL-175. This prediction helps the forging industry in estimating the quantity of products forged before reworking or resinking and thereby can supply the forgings to the customer at reasonable lower price and this will also escalating the demand from the customer. The prediction of die life is vital to satisfy demands for lower cost and shorter production preparation times. The prediction helps the company to make an accurate production planning process and can take necessary steps and actions to utilize the maximum quantity of products before die failures

Response surface methodology assisted multi-objectiveoptimization of TIG process for 15CDV6 steel

Welding is a way of heating pieces of metal usingelectricity or flame so that they melt and stick together. There aremany kinds of welding processes, such as, for instance, MIG/MAGand MMA welding. However, such welding schemes require moreelectrodes during the process of welding. Hence, this paper intendsto analyse the alternative tungsten inert gas (TIG) welding tech-nology using Response Surface Methodology (RSM), and to identifythe effect of TIG welding process parameters on the weld bead pro-file of 15CDV6 high strength low alloy (HSLA) steel. Moreover, themethodology applied allows for identification of the optimal weld-ing conditions by means of multi-objective optimization using RSMto increase the depth of penetration (DOP) and reduce BW (beadwidth) and heat-affected zone (HAZ) width. The variables takenfor the model-based investigations are: welding current (Wc), torchspeed (Ts), gas flow rate (Gr), torch angle (Ta) and arc gap (Ag).Moreover, the responses taken are DOP, BW and HAZ width. Fur-ther, the results from the proposed model optimisation can be seenas highly beneficial for the rocket-motor hardware program, indus-tries and fabrication of pressure vessels, which are using 15CDV6steel