Showing papers by "B. T. Hang Tuah Baharudin published in 2012"

A New Concurrent Engineering – Multi Criteria Decision Making Technique for Conceptual Design Selection

Abstract: Product development process involves conceptual design selection, which is an activity engaging with numerous types of data including technical-customer specifications and current design developments. This paper presents a conceptual design selection which employs a new technique which accommodates Concurrent Engineering (CE) – Multi Criteria Decision Making (MCDM) strategies. This new technique combines Concurrent Network (CE-ANP), Quality Function Deployment (QFD) and Analytical Hierarchy Process (AHP), referred as CoNQA. To illustrate this technique, a case study is presented involving aerospace application which is the selection of wing spar material. The result shows that the proposed new technique proved to be a sound method which considers product performance, product specification, technical specifications and selection of the best alternative in the selection process. This new method should be a useful aid for designers in collaboration with engineers to perform systematic and parallel technique involving early consideration of technical-customer requirements during conceptual design, hence to establish good product design and increase product competitiveness.

Optimization of machining parameters during drilling of 7075 aluminium alloy

Abstract: Proper selection of drilling parameters is one of the significant challenges in drilling process. In this study, a new method for selection of optimal machining parameters during drilling operation is investigated. The present study deals with multiple-performance optimization of machining characteristics during drilling of 7075 aluminum alloy. The most commonly-used material in aerospace industry is aluminum alloy with zinc as the primary alloying element. The drilling parameters used for this experiment include cutting speed, feed rate and drill diameter while the two output parameters are surface roughness and dimension error. These outputs are specified to be optimized as a measure of process performance. The statistical model is generated from linear polynomial equations which are developed from different output responses when the machining parameters are changed. The Non-dominated Sorting Genetic Algorithm optimization results show high performance in solving the present problem.

Testing for Green Compression Strength and Permeability Properties on the Tailing Sand Samples Gathered from Ex Tin Mines in Perak State,Malaysia

Abstract: Permeability and green compression strength are among the important mechanical properties and considered much in the sand casting mould preparation. These molding sand properties play a vital role in determining the optimum moisture content for making green sand casting mould. Tailing sand is the residue mineral from tin extraction, which contains between 94% and 99.5% silica and in abundance in Kinta Valley of state of Perak, Malaysia. In this research work, samples of tailing sands were gathered from four identified ex tin mines located at the Perak State, Malaysia. They were investigated by the standards and testing procedures prescribed by the American Foundrymen Society (AFS). Sand specimens of size O50 mm×50 mm in height from various sandwater ratios bonded with 4% clay were compacted on applying three ramming blows of 6666 g each by using a Ridsdale-Dietert metric standard rammer. The specimens were tested for green compression strength using Ridsdale-Dietert universal sand strength machine and permeability number with Ridsdale-Dietert permeability meter. Before the tests were conducted, the moisture content was measured using moisture analyzer. Samples with moisture content ranging from 3 to 3.5% were found to have optimum working range with effective green compression strength and permeability.

Effect of Mould Vibration on Mechanical Properties of Particulate Reinforced Aluminium Alloy Matrix Composite

Abstract: This paper focuses on the mechanical properties of Titanium Carbide (TiC) particulate reinforced aluminium-silicon alloy matrix composite subjected to mould vibration during solidification. In this experimental study, mould vibration is applied to TiC particulate reinforced LM6 alloy matrix composites with a wide range of frequencies. TiC particulate reinforced LM6 alloy matrix composites are fabricated by adding different particulate weight fraction of TiC in the matrix by carbon dioxide molding process. Mechanical properties such as tensile strength, hardness, are determined and microstructural features are analyzed through SEM. Besides, fracture surface analysis has been performed to characterize the morphological aspects of the test samples after tensile testing. Preliminary works show that the mechanical properties have been improved with 10.2Hz frequency when compared with the gravity sand-castings without vibration.

Analytical Model Prediction: Micro-Cutting Tool Forces with the Effect of Friction on Machining Titanium Alloy (Ti-6Al-4V)

Abstract: In this paper, a methodology of a model based on predicting the tool forces oblique machining are introduced by adopting the orthogonal technique. The applied analytical calculation is mostly based on Devries model and some parts of the methodology are employed from Amareggo-Brown model. Model validation is performed by comparing experimental data with the prediction results on machining titanium alloy (Ti-6Al-4V) based on micro-cutting tool perspective. Good agreements with the experiments are observed. A detailed friction form that affected the tool forces also been examined with reasonable results obtained. Keywords— dynamics machining, micro cutting tool, Tool forces

Recent developments of kenaf fiber rein-forced thermoset composites: a review

Abstract: Kenaf fibers are recently upcoming reinforcement material to be used in composites. This is due to its low density, commercially viability, no health risk, high specific strength and modulus and renewability. It can also be cultivated in a variety of soil and is easily cultiva-ble in some countries. Although traditionally it has been a used as products such as rope, twine, bagging and rugs, recently interests have grown for uses in other applications such as fiber reinforced composites. This paper reviews the recent developments in the use of kenaf fiber as a reinforcement material in thermoset composites. This paper also discusses the multiple types of kenaf fibers itself that are currently available in the market. The processes of kenaf cultivation and pre-treatment have also been reviewed. The properties of various kenaf reinforced thermoset polymer composites, interface between kenaf fiber and matrix and multitude of current manufacturing processes have also been discussed and presented. Recommendations for further research and development have also been given in this paper.

Evaluation of Different Factors in Implementation of JIT Production System by Applying Simulation and Entropy Weighting Method

Abstract: Competitive advantage and more profit and eliminating wastes will cause organizations to use new methods and techniques to enhance their performance and reduce the wastes and inventory in their production process. To achieve these goals, statistical methods such as simulation and mathematically method such as Entropy weighting is used to evaluate the weight and importance of factors in implementation of Just in Time philosophy in manufacturing systems. To certify the results of this research a case study is presented which is a part of production line of one company in IRAN. The result will be discussed about the effects of factors on production line and decision making process for managers.

Plastic made gasing top

Abstract: A gasing top comprises a plastic or plastic composite body; a metal rod positioned within the body and extending along the central axis of the body towards the bottom forming a sharp tip, which is located outside the body to serve as a spinning tip; and a weight located within the body being arranged in such a way to stabilize spinning of the gasing top.

Computational Inteligence in Optimization of Machining Operation Parameters of ST-37 Steel

Abstract: Optimal selection of cutting parameters is one of the significant issues in achieving high quality machining. In this study, a method for the selection of optimal cutting parameters during lathe operation is presented. The present study focuses on multiple-performance optimization on machining characteristics of St-37 steel. The cutting parameters used in this experimental study include cutting speed, feed rate, depth of cut and rake angle. Two output parameters, namely, surface roughness and tool life are considered as process performance. A statistical model based on linear polynomial equations is developed to describe different responses. For optimal conditions, the Non-dominated Sorting Genetic Algorithm (NSGA) is employed in achieving appropriate models. The optimization procedure shows that the proposed method has a high performance in problem-solving.