The Impact of Cutting Tool Materials on Cutting Force

A judicious choice of insert material, tool geometry and cutting conditions can make hard turning produce better surfaces than grinding. In the present study, an attempt has been made to investigate the effect of cutting tool materials on cutting forces (feed force, thrust force and cutting force) in finish hard turning of AISI D2 cold work tool steel. In conclusion of the results obtained with a constant depth of cut and feed rate, it is important to note that cutting force is directly affected by cutting tool material

PREDICTION OF THE BENDING STRENGTH USING RESPONSE SURFACE METHODOLOGY

Response surface methodology (RSM) is a collection of data that used mathematical and statistical technique to model and analyze problem in which the response (output) are influenced by several factors (parameters). In this study, a mathematical model was developed using RSM to predict the bending strength of aluminium alloys 6064 weldment. Data analysis is performed using Design Expert 7.03. The adequacy of the models has been attempted by using analysis-ofvariance (ANOVA) technique. Experimental results showed that model has 90% confidence level and the model can be use to predict the bending strength of Aluminium alloys 6064 weldments within the range of parameter considered in this investigation

Mathematical Modeling of Surface Roughness in Surface Grinding Operation

A mathematical model of the surface roughness has been developed by using response surface methodology (RSM) in grinding of AISI D2 cold work tool steels. Analysis of variance (ANOVA) was used to check the validity of the model. Low and high value for work speed and feed rate are decided from design of experiment. The influences of all machining parameters on surface roughness have been analyzed based on the developed mathematical model. The developed prediction equation shows that both the feed rate and work speed are the most important factor that influences the surface roughness. The surface roughness was found to be the lowers with the used of low feed rate and low work speed. Accuracy of the best model was proved with the testing data

E-RECYCLING SYSTEM MODEL AND ITS APPLICATIONS TO PLASTIC, PAPER AND DISC

Lately, Malaysians tend to generate wastes at an alarming rate, for instance; discs, paper and plastics. Abreast of that, the conventional recycling systems that have been constructed in Malaysia typically are not widely marketed and are lacking of practical applications. This study comes with an intention of concentrating on the improvement of this particular conventional renewed Erecycling system model that includes database system (generally known as Merit Point Incentive (MPI) system) and CAD model. Due to its applicability, the model is examined by Linear Static and Fatigue analyses. The comparison (cost efficiency) amongst the conventional and E- recycling systems are shown throughout this study

Mathematical Modeling of Surface Roughness in Surface Grinding Operation

A mathematical model of the surface roughness has been developed by using response surface methodology (RSM) in grinding of AISI D2 cold work tool steels. Analysis of variance (ANOVA) was used to check the validity of the model. Low and high value for work speed and feed rate are decided from design of experiment. The influences of all machining parameters on surface roughness have been analyzed based on the developed mathematical model. The developed prediction equation shows that both the feed rate and work speed are the most important factor that influences the surface roughness. The surface roughness was found to be the lowers with the used of low feed rate and low work speed. Accuracy of the best model was proved with the testing data

Experimental evaluation of mechanical properties of tin composite (tin, rice husk and silicon carbide) for sustainable production tooling

Experimental specimens were fabricated using Tin (Sn) as core material while silicon carbide and rice husk acted as reinforced materials to increase the specimen’s hardness. Silicon carbide and rice husk were reinforced in the Tin using metal casting process (mold plate casting). The specimen mold plate was cut using laser cutting machine and the material plate used was Aluminum. After metal casting process has been completed, the specimen in the mould were pressed using the hot press molding machine. Two types of testing were used in this study namely tensile test and hardness test. Three specimens have been used for each test. The result for the testings have been observed and analyzed based on their tensile strength and material hardness. It has been found that the tensile strength for the composite material is higher than the initial Tin (Sn), as well as its hardness. However, the mixing technique could have been improved to obtain better SiC and rice husk distribution