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Articles by N. Muhamad
Total Records ( 3 ) for N. Muhamad
  M.A.M. Arif , M.Z. Omar and N. Muhamad
  ZA3 is a zinc-based alloy with aluminium as its main alloying element. Producing ZA3 product by semisolid metal processing (SSM) can offer significant advantages such as the reduction of macrosegregations, porosity and low forming efforts. The aim of this study was to produce nondendritic semisolid ZA3 alloy through heat treatment. The thermal and microstructure analysis of ZA3 alloy were studied using Differential Scanning Calorimeter (DSC) and Scanning Electron Microscopy (SEM). The solidus and liquidus of the alloy can be determined by DSC analysis. The changes to the microstructures in response to two different isothermal treatments were investigated. They are heating at 100°C for 3-6 h and at 280°C for 0.5-5 h, respectively. Subsequently, all of the treated samples are partially remelt at 383°C for 15 min. The initial as-cast ZA3 alloy consisted of dendritic microstructure typical of a cast ingot. The major effort in the semi-solid technologies is the generation of small and spherical morphologies. The results indicated that when the respective heat-treated ZA3 alloy at 100°C for 4.5 h and 280°C for 3 h was subjected to partial remelting into its semisolid zone, the dendritic arms coalesced and coarsened into fine solid grains of 34±17 μm with corresponds to 0.84 of shape factor and 33±16 μm with the best shape factor of 0.85.
  N.H. Mohamad Nor , N. Muhamad , A.K. Ariffin , M. Ruzi , K.R. Jamaludin and A. Sufizar
  This paper outlines the optimization the process of injection molding parameters for feedstock of titanium alloy powder and palm stearin binder using grey relational analysis method. A Grey Relational Grade (GRG) obtained from the Grey Relational Analysis (GRA) is used to solve the injection molding operations with the multiple performance characteristic. The L27 (313) of orthogonal array of Taguchi method were performed. Defects, strength and density are important characteristics in determine the quality of the green part. Using these characteristics, the injection pressure, injection temperature, powder loading, mold temperature, holding pressure and injection speed are optimized in the study. From the analysis of variance (ANOVA), the injection temperature has the highest contribution to the quality of green part followed by injection pressure, powder loading, mold temperature, injection rate and holding pressure.
  K.R. Jamaludin , N. Muhamad , M.N. Ab. Rahman , S. Ahmad , M.H.I. Ibrahim , N.H. M. Nor , M.R. Harun and M.Y.M. Daud
  This study presents and demonstrates the effectiveness of optimizing multiple quality characteristics of the injection molding of the MIM green compacts via Taguchi method-based Grey analysis. The modified algorithm adopted here was successfully used for both detraining the optimum setting of the process parameters and for combining multiple quality characteristics into one integrated numerical value called Grey relational grade. The significant molding parameters were identified as (1) Injection Pressure (2) Injection Temperature (3) Powder Loading (4) Mold Temperature (5) Holding Pressure and (6) Injection Speed. In addition, the multiple quality characteristics required are: (1) less defects (2) strong and (3) denser compact. The result concluded that the powder loading (C) is very significant for the combination of the quality characteristics.
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