YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web crawler & Web page. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Comparative Measurements of Physical and Mechanical Properties of AA6082 Based Composites Reinforced with B4C and SiC Particulates Produced via Stir Casting

Abstract: AA6082/B4C and AA6082/SiC were prepared via stir casting accompanied by an inert-gas to prevent oxidation. The samples for both the composites were produced with varying wt% of 0, 5, 10, 15 and 20 of B4C and SiC for their respective composites. This work gives emphasis on the comparative measurements of hardness, tensile strength, percentage elongation, Impact strength, density and porosity of the AA6082/B4C and AA6082/SiC composites. The microstructural was studied using X-ray diffractometer and SEM. The micro hardness in AA6082/B4C composites increases to 15.8% and the increase in AA6082/SiC composites is 11.9% only when compared with the base alloy whereas the increase in ultimate tensile strength for B4C and SiC reinforced composites was reported to be 31% and 19.1% respectively. At 20 wt% of B4C, hardness and tensile strength of AA6082/B4C composite tends to decrease due to the development of clusters and increased porosity. The transformation in the nature of material from ductile to brittle decreases the impact strength and the resistance in the flow ability presented by the hard ceramic particles lowers down the percentage elongation. Density reduces from 2.67 g/cm3 in base alloy to 2.48 g/cm3 in AA6082/B4C and 2.56 g/cm3 in AA6082/SiC composites respectively. The formation of voids in AA6082/SiC composites makes it less porous then AA6082/B4C composites and this was because of the more agglomeration in SiC composites due to their high density.

Agility Evaluation in the Rolling Industry: A Case Study

Abstract: In the contemporary marketplace, the rate of competition is high both at local and global levels. Rolling industries are used for manufacturing materials which are used further for developing various finished products. The products developed are in accordance with a volatile market keeping in mind the cost and productivity. Thus, the manufacturing system, i.e., integrated lean-agile manufacturing system (LAMS) can be adopted. However, the implementation of the integrated form of manufacturing can be difficult to accomplish. Some attributes and sub-attributes are there which besides having an impact on the implementation process. This paper’s main objective is the identification and analysis of the attributes. These attributes have been determined with the help of literature review, and then the rating is implemented using the questionnaire survey and fuzzy agility evaluation (FAE) approach has been utilized for the analysis of the agility level of the rolling industry.

Prioritising the performance measures of FMS using multi-criteria decision making approaches

Abstract: The evaluation of the most appropriate performance measures in the manufacturing sector is one of the strategic issues that may affect the flexible manufacturing system (FMS). In this paper, five areas of performance measures, i.e., measures related to finance, measures related to customers, measures related to innovation and knowledge, measures related to internal business and miscellaneous measures with their sub-measures are considered. The purpose of this paper is to provide a framework to proactively manage performance measures. For this purpose, a comparative study of multi criteria decision making approaches, simple additive weighting (SAW) and weighted product method (WPM) are integrated with analytic hierarchy process (AHP) in order to get the best solution. AHP is used to determine the weights of the measures which are used in SAW and WPM approaches, for prioritising the performance measures so that management could take the decision regarding improvement. Here, fuzzy logic is used to change the qualitative measures into the quantitative measures.

Analysing the operational risks in supply chain by using weighted interpretive structure modelling technique

Abstract: Risk in the context of supply chain management plays an important role. Risk management is the key area for the competitiveness and the growth of industries. In this paper, ten operational risk factors have been identified through literature review, they are further analysed by using weighted interpretive structural modelling (W-ISM) approach. ISM approach is used to develop a structural modelling between these factors and a method of effectiveness index (EI) is used to identify the key areas. The effectiveness index evaluated in this paper will help the industries to benchmark their performance by managing the risks reported in this study.

Multi-objective thermodynamic optimisation of solar parabolic dish Stirling heat engine using NSGA-II and decision making

Abstract: The proposed work investigates optimal values of various decision variables that simultaneously optimise power output, thermal efficiency and ecological function of solar driven Stirling heat engine using evolutionary algorithm based on NSGA-II. A finite time thermodynamic based mathematical model is developed in effect with regenerative heat losses, conducting thermal bridging losses, finite rate heat transfer and finite regeneration process time in MATLAB Simulink environment. In addition to this, effects imposed by the parameters as absorber temperature, concentrating ratio, radiation and convection heat transfer between absorber and working fluid and convective heat transfer between heat sink and working fluid are also included in the analysis. Pareto frontier is obtained for triple and dual objectives and the best optimal value is selected through four different decision making techniques viz. Fuzzy, Shannon entropy, LINMAP and TOPSIS. The optimal solutions attained are then compared and superior one is selected.