69 research outputs found
Evaluating the Effect of Process Parameters on the Mechanical Properties of an AA7075-Cu Overcast Joint Using the Taguchi Method
No full textThe present study aims to evaluate the effect of process parameters such as melt temperature (MT), squeeze pressure (SP) and insert pre-heating temperature (IPT) on the ultimate tensile strength (UTS) of an AA7075-Cu overcast joint using an orthogonal array (L8) of Taguchi techniques. The analysis of variance (ANOVA) test results showed that SP is the most significant process parameter due to the significant reduction in air gaps between aluminum and copper. The optimal value of UTS (39.33 MPa) was attained at higher levels of SP (90 MPa), MT (800 °C) and IPT (300 °C). The confirmation test validated the significance of process parameters in optimizing the UTS of an AA7075-Cu overcast joint due to the low percentage error
Manufacturing feature-based cost estimation of cast parts
No full textSeventy percent of new product cost is committed in the design phase. Therefore, the cost needs
to be minimized. Incorporating accurate cost estimation capabilities into manufacturing processes can help
industries to minimize the cost and optimize the design. The casting process has been employed as a key process
to manufacture parts having the advantage of low cost and customized products in foundry industry. This paper
presents a cost estimation system for the casting process based on the design features, which incorporates the
casting information at the design stage of castings. It aims to deliver the best cost-effective choice for casting
design features of a product. Two kinds of knowledge, namely economical knowledge (describing the relation
between the casting design considerations and the cost) and technical knowledge (involving the material of the
casting features) were structured in this research work. On the basis of the minimum product cost, casting material
selection can be carried out in detail. The developed system has been validated through an industrial case study
Comparison of feature selection methods in text classification on highly skewed datasets
No full textRapid Prototyping and Tooling Technology to Assist the Development of Low-Cost Dies
No full textThis case study aims toward the importance of the application of rapid prototyping and tooling technology in die design and manufacturing. Many conventional machining processes of die manufacturing, including computer numeric control (CNC) machining and electric discharge machining (EDM), are used by the local manufacturers of die, but these processes are time-consuming and expensive. There is a need to explore opportunities to reduce die manufacturing costs. This paper aims to assist the development of low-cost dies through the application of rapid prototyping and tooling technology. For this purpose, solid works software was used to design the die of a 4-hole Lego Block. 3D printing was incorporated in the existing capability of investment casting process for die manufacturing. A proper gating system design consideration was taken into account to ensure the accurate flow of casting material for achieving fine surface finish. From the results, it has been observed that gating system design with four ingates gives the optimum value of surface finish (~3.4156μm). The proposed rapid prototyping and tooling technology makes the practitioners (tool makers) capable of making dies with complex shapes, superior surface finishes, and dimensional accuracy in less or no time
Investigating the effects of gating design on mechanical properties of aluminum alloy in sand casting process
No full textThis research aims to analyze the effects of bottom and top gating configurations on mechanical properties of aluminum alloy 6063-T5 in sand casting process. The influence of three most effective process parameters including pouring temperature, runner area and ingate area have been investigated. Empirical models for both bottom and top gating configurations have been developed using response surface methodology (RSM). Analysis of variance (ANOVA) and confirmatory experiments have been used to measure adequacy and validity of developed models respectively. Bottom gating was observed as better configuration as compared to top gating configuration with 4.08%–18.78% higher ultimate tensile strength (UTS) and 5.98%–20.60% higher percentage elongation. This resulted due to splashes generated by top gating configuration which severely affected the fluidity of the melt with consequent effects on mechanical properties. Pouring temperature and ingate area have been identified as the most significant process parameters affecting ultimate tensile strength and percentage elongation. Ingate area, on the other hand influences the flow pressure and speed of melt which is required for mold filling. Micro-hardness of the specimens has also been investigated to clarify the effects of gating configuration and input parameters on mechanical properties. To have a deeper insight of the findings, microstructural analysis of casted parts has also been carried out. The findings of this research will provide better insight of bottom and top gated sand casted parts and their effect on mechanical properties
Simulation Based Measuring the Benefits of Converting to Lean Product Design and Development: A Case Study of Manufacturing Sector of Pakistan
No full textDesigners are facing the principal problems of effective decision making at the initial design stage of product development, which ultimately contribute to profit loss, low quality and increased time to launch the product onto the market. It requires a lot of knowledge and experience. Tools are required to analyze and ensure that crucial decisions have strong foundation before implementation. Discrete event simulation provides such a tool and has got potential to assist in decision making before final implementation. This research work aims measuring the benefits of transformation to lean product development (LPD) via simulation. Simulink-MATLAB tool was used for this purpose. The whole work is limited to design and cost estimation cells of a manufacturing company and consists of two phases. The first phase deals with the assessment of current working model of design and cost estimation cells. The areas for improvements were recognized at this phase. The proposed model for transformation to LPD was developed in the second phase. Four lean enablers namely product values, knowledge-based engineering, set-based concurrent engineering and poke-yoke were incorporated to further enhance the operation of the proposed model. This research work constitutes a useful case for practitioners. Keywords: decision making, discrete event simulation, lean product development, lean enabler
Assessing the Role of the Green Finance Index in Environmental Pollution Reduction
No full textA substantial amount of green finance is required for the transition to green energy, in order to control global warming. We used a common weight DEA composite indicator to develop a green finance index to measure the combined effects of energy, environment, and financial variables. The resulting green finance index values range from 0.98 to 0.71. According to results, Iceland and Nepal both have a score of 1.00, while Australia is third with 0.98 and Malta the lowest value of 0.71. The UK has a score of 0.23 and India has a score of 0.15. The findings of this study offer an understanding of the role of green finance in environmental pollution reduction. We suggest several policy implications or solutions for governments, institutions, industries and the public to work towards environmental pollution reduction.A substantial amount of green finance is required for the transition to green energy, in order to control global warming. We used a common weight DEA composite indicator to develop a green finance index to measure the combined effects of energy, environment, and financial variables. The resulting green finance index values range from 0.98 to 0.71. According to results, Iceland and Nepal both have a score of 1.00, while Australia is third with 0.98 and Malta the lowest value of 0.71. The UK has a score of 0.23 and India has a score of 0.15. The findings of this study offer an understanding of the role of green finance in environmental pollution reduction. We suggest several policy implications or solutions for governments, institutions, industries and the public to work towards environmental pollution reduction
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