http://localhost:8080/xmlui/handle/123456789/352 Tue, 23 Jun 2026 06:10:55 GMT 2026-06-23T06:10:55Z http://localhost:8080/xmlui/handle/123456789/2918 Title: Optimization of material removal rate during electrical discharge machining of cryo-treated NiTi alloys using Taguchi’s method Authors: Gaikwad, V.; Jatti, V. S. Abstract: To withstand in global manufacturing market it is necessary to acquire new technology for producing new products. To achieve this advanced material plays an important role. NiTi alloy is one such class of advanced material which has unique properties such as biocompatibility, high strength, high corrosion resistance, shape memory effect etc. Due to such property these alloys have wide application in the field of defence, aerospace, and medicine. As these applications required high accuracy, precision and high strength of NiTi these are difficult to machine by conventional machining processes. Hence to machine this advanced material non-conventional machining processes i.e. electric discharge machining is employed. However EDM has a wide range of process parameter and the aim of EDM users and manufacturers is to achieve optimal performance of EDM. In view of this objective the present study focuses on optimization of electric discharge machining process parameter for maximization of material removal rate while machining of NiTi alloy. In the present study gap current, pulse on time, pulse off time, workpiece electrical conductivity, and tool conductivity were considered as process variables. Experiments were carried out as per Taguchi’s L36 orthogonal array. Based on the analysis it was found that work electrical conductivity, gap current and pulse on time are the significant parameters that affect the material removal rate. The optimized material removal rate obtained was 7.0806 mm3 /min based on optimal setting of input parameter Sun, 24 Apr 2016 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2918 2016-04-24T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2916 Title: Tool path planning of hole-making operations in ejector plate of injection mould using modified shuffled frog leaping algorithm Abstract: Optimization of hole-making operations in manufacturing industry plays a vital role. Tool travel and tool switch planning are the two major issues in hole-making operations. Many industrial applications such as moulds, dies, engine block, automotive parts etc. requires machining of large number of holes. Large number of machining operations like drilling, enlargement or tapping/reaming are required to achieve the final size of individual hole, which gives rise to number of possible sequences to complete hole-making operations on the part depending upon the location of hole and tool sequence to be followed. It is necessary to find the optimal sequence of operations which minimizes the total processing cost of hole-making operations. In this work, therefore an attempt is made to reduce the total processing cost of hole-making operations by applying relatively new optimization algorithms known as shuffled frog leaping algorithm and proposed modified shuffled frog leaping algorithm for the determination of optimal sequence of hole-making operations. An industrial application example of ejector plate of injection mould is considered in this work to demonstrate the proposed approach. The obtained results by the shuffled frog leaping algorithm and proposed modified shuffled frog leaping algorithm are compared with each other. It is seen from the obtained results that the results of proposed modified shuffled frog leaping algorithm are superior to those obtained using shuffled frog leaping algorithm. Wed, 06 Apr 2016 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2916 2016-04-06T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1981 Title: Dynamic machine layout for press tool operations using real coded genetic algorithm Authors: Chandratre, Kailas; Pawar, Padmakar; Nandurkar, Keshav Abstract: In today’s economy, manufacturing plants must be able to operate efficiently and respond quickly to changes in the product mix and demand. Layout design has a significant impact on manufacturing efficiency. A static plant layout if possible to be converted to dynamic layout may improve the efficiency of the plant significantly. Dynamic layout is a layout, which can be rearranged with respect to time as per variation in product design, quantity and change in product mix. Dynamic layout problem is a quadratic assignment problem and is of non-deterministic polynomial-time hard problem. In this work, an attempt is made to solve this problem using real coded genetic algorithm (GA), which overcomes some of the limitations of traditional GA. This algorithm has been applied to the dynamic layout benchmark problems to prove its effectiveness. In addition, a real life example is considered to validate the presented approach. Thu, 05 May 2016 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/1981 2016-05-05T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1979 Title: Process parameter optimization based on principal components analysis during machining of hardened steel Abstract: The optimum selection of process parameters has played an important role for improving the surface finish, minimizing tool wear, increasing material removal rate and reducing machining time of any machining process. In this paper, optimum parameters while machining AISI D2 hardened steel using solid carbide TiAlN coated end mill has been investigated. For optimization of process parameters along with multiple quality characteristics, principal components analysis method has been adopted in this work. The confirmation experiments have revealed that to improve performance of cutting; principal components analysis method would be a useful tool. Mon, 16 Feb 2015 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/1979 2015-02-16T00:00:00Z