ANALISIS PREDIKSI KEKASARAN PERMUKAAN
PEMODELAN HARD TURNING PADA STAINLESS
STEEL 304 MENGGUNAKAN PAHAT HIGH
SPEED STEEL
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Institusion
Universitas Sriwijaya
Author
MUHAMMAD FAZAL MUZAKKI (STUDENT ID : 03111005076)
Amrifan Saladin Mohruni (LECTURER ID : 0011096407)
Amrifan Saladin Mohruni (LECTURER ID : 0011096407)
Subject
TJ1-1570 Mechanical engineering and machinery
Datestamp
2019-12-05 11:02:20
Abstract :
Surface roughness a product that have occurred from a machining process can determine the quality of being a final process. Stainless steel is hardened alloy steel often developed as material industry. The use of a cutting tool for high speed steel constitutes one of the references to know whether the effect to the process of modeling hard turning. Therefore researchers intend to develop the result of steady uses the 2k factorials design. Motede done by experiment 8 sempel variable main cutting speed, and feed rate. In this study focused to predict at the level surface roughness of material stainless steel 304 with 2 variation parameter the use of a machine lathe conventional BD-1336T. Then the data mixed with a method of analysis of variance (ANOVA). This report is written with the experimental methods. Variation parameter used to have the length of any parameter. After get data from testing done analysis using a method of response surface that can determine the relation between variables the process enters freely and data out ( of variable the process ). The results of testing this shows the impact of surface roughness stainless steel 304 is the effect of A namely value cutting speed (-1). This are defined that the increase cutting speed so surface roughness produced the smooth (2.42?m). The effects of factors AB shows the (-0.61) are defined that if factors AB namely cutting speed and feed rate combined who good affect on surface roughness indicated by percent contribution 24 %. The more significant parameter that affects roughness (smooth) is the speed cut into with indicated percent contribution 66 % , while feed rate if added 0.05 mm/r to 0.1 mm/rev so surface roughness would increase as a result as indicated by following percent contribution 7 %. Based on the data response surface predictable in some way that the combination of cutting speed and feed rate affect roughness that is indicated percent contribution 24 % .The condition of optimal of the cutting speed and feed rate by the experiment was done by the value of the cutting speed 47.1m/min with a value of feed rate 0.1mm/rev with the results of the value of each against roughness of surface is Ra 2.42 ?m. On experiment is produced linear regression the one develop in a experiment, to determine the value range condition conducted by optimum position experiments .While linear regression models are not could be referred to estimate of surface roughness on stainless steel 304 with high speed steel out of parameter that dependent on the level.
Surface roughness a product that have occurred from a machining process can determine the quality of being a final process. Stainless steel is hardened alloy steel often developed as material industry. The use of a cutting tool for high speed steel constitutes one of the references to know whether the effect to the process of modeling hard turning. Therefore researchers intend to develop the result of steady uses the 2k factorials design. Motede done by experiment 8 sempel variable main cutting speed, and feed rate. In this study focused to predict at the level surface roughness of material stainless steel 304 with 2 variation parameter the use of a machine lathe conventional BD-1336T. Then the data mixed with a method of analysis of variance (ANOVA). This report is written with the experimental methods. Variation parameter used to have the length of any parameter. After get data from testing done analysis using a method of response surface that can determine the relation between variables the process enters freely and data out ( of variable the process ). The results of testing this shows the impact of surface roughness stainless steel 304 is the effect of A namely value cutting speed (-1). This are defined that the increase cutting speed so surface roughness produced the smooth (2.42?m). The effects of factors AB shows the (-0.61) are defined that if factors AB namely cutting speed and feed rate combined who good affect on surface roughness indicated by percent contribution 24 %. The more significant parameter that affects roughness (smooth) is the speed cut into with indicated percent contribution 66 % , while feed rate if added 0.05 mm/r to 0.1 mm/rev so surface roughness would increase as a result as indicated by following percent contribution 7 %. Based on the data response surface predictable in some way that the combination of cutting speed and feed rate affect roughness that is indicated percent contribution 24 % .The condition of optimal of the cutting speed and feed rate by the experiment was done by the value of the cutting speed 47.1m/min with a value of feed rate 0.1mm/rev with the results of the value of each against roughness of surface is Ra 2.42 ?m. On experiment is produced linear regression the one develop in a experiment, to determine the value range condition conducted by optimum position experiments .While linear regression models are not could be referred to estimate of surface roughness on stainless steel 304 with high speed steel out of parameter that dependent on the level.
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