The demand for aluminum hybrid metal matrix composites has increased in recent times due to their enhanced mechanical properties for satisfying the requirements of advanced engineering applications. The performance of these materials is greatly influenced by the selection of an appropriate combination of reinforcement materials. The reinforcement materials include carbides, nitrides, and oxides. The ceramic particles, such as silicon carbide and aluminum oxide, are the most widely used reinforcement materials for preparing these composites. In this paper, an attempt has been made to prepare an Al6061 hybrid metal matrix composite (HAMMC) reinforced with particulates with different weight fractions of SiC and Al2O3 and a constant weight fraction (5%) of fly ash by a stir-casting process. The experimental study has been carried out on the prepared composite to investigate the mechanical properties due to the addition of multiple reinforcement materials. The density and mechanical properties, such as ultimate tensile strength, yield strength, impact strength, and the hardness and wear characteristics of the proposed composite, are compared with those of unreinforced Al6061. The experimental investigation is also aimed at observing the variation of properties with a varying weight percentage of the reinforcement materials SiC and Al2O3 simultaneously with the fly ash content maintained constant. The outcome of the experimental investigation revealed that the proposed hybrid composite with 20% of total reinforcement material exhibits high hardness, high yield strength, and low wear rate but no considerable improvement in impact strength.
In the present global competitive environment, manufacturing organizations are being forced to constantly develop newer methods/technologies for producing high quality products/components at the minimum possible cost to satisfy the diverse and dynamic needs of customers. Selection of a proper cutting tool within a process planning system is vital for the productive efficiency and cost effectiveness of a manufacturing process. In this paper, a knowledgebased system is developed in Visual BASIC 6.0 and subsequently implemented for selection of an appropriate end mill for a given machining application from a set of feasible alternatives. Although, there are some published research papers on the applications of knowledge-based systems for selecting of cutting tools, none of them has investigated its scope for choosing a suitable end mill from a comprehensive list of options available on the market. The developed system first narrows down the list of end mills based on some predefined parameters as set by the process planner and then ranks the feasible end mills according to their suitability for the desired machining application. While ranking the end mill alternatives, criteria weights are determined using Shannon's entropy method to avoid subjectivity in judgments. It also guides the process planner in identifying the corresponding speed and feed for different combinations of workpiece material and machining operation.
Purpose – The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies. Design/methodology/approach – Quality function deployment (QFD)-based optimization methodology is employed to design a supply chain for a product through aligning the competitive and supply chain strategies. Normal boundary intersection (NBI) method is adopted to obtain optimal weights of the supply chain design objectives. Weighted additive model is developed for multi-objective optimization. Utility-based attribute function, which structure the relationship between the elements of competitive and supply chain strategies is established. The utility functions and the information contained in the House of Quality (HOQ) of QFD are used to define the supply chain performance (SCP). Findings – SCP index is computed using the set of supply chain design objectives obtained by solving the weighted additive model. On the basis of SCP index, the supply chain activities are planned accordingly. An illustrative example is presented in this paper to describe the QFD-based optimization methodology for designing a supply chain. Originality/value – QFD-based optimization is a novel approach to design a supply chain with a focus on aligning competitive and supply chain strategies.
Supplier selection is one of the significant aspects of any supply chain. The incorrect decision on supplier selection affects not only the specific buyer but also the entire supply chain. The selection of good supplier may lead to reduce purchasing risk, maximize overall value to the purchaser and to establish reliable long-term relationships between buyers and suppliers. In fact, supplier selection is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In this paper a methodology has been proposed by integrating Analytic Hierarchy Process (AHP) and Multi-criteria Optimization and Compromise Solution technique called VIKOR with a view to resolving the uncertainty while selecting the best one among various alternatives. A case study has been conducted in a manufacturing company to demonstrate the proposed methodology.
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