ANALISIS PREDIKSI KEKASARAN PERMUKAAN PEMODELAN HARD TURNING PADA STAINLESS STEEL 304 MENGGUNAKAN PAHAT HIGH SPEED STEEL

MUZAKKI, MUHAMMAD FAZAL and Mohruni, Amrifan Saladin (2018) ANALISIS PREDIKSI KEKASARAN PERMUKAAN PEMODELAN HARD TURNING PADA STAINLESS STEEL 304 MENGGUNAKAN PAHAT HIGH SPEED STEEL. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_21201_ 03111005076_ 011096407.pdf] Text
RAMA_21201_ 03111005076_ 011096407.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (3MB) | Request a copy
[thumbnail of RAMA_21201_ 03111005076_ 011096407_01_front_ref.pdf]
Preview
Text
RAMA_21201_ 03111005076_ 011096407_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Preview
[thumbnail of RAMA_21201_ 03111005076_ 011096407_02.pdf] Text
RAMA_21201_ 03111005076_ 011096407_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (170kB) | Request a copy
[thumbnail of RAMA_21201_ 03111005076_ 011096407_03.pdf] Text
RAMA_21201_ 03111005076_ 011096407_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (490kB) | Request a copy
[thumbnail of RAMA_21201_ 03111005076_ 011096407_04.pdf] Text
RAMA_21201_ 03111005076_ 011096407_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (236kB) | Request a copy
[thumbnail of RAMA_21201_ 03111005076_ 011096407_05.pdf] Text
RAMA_21201_ 03111005076_ 011096407_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (17kB) | Request a copy
[thumbnail of RAMA_21201_ 03111005076_ 011096407_06_ref.pdf] Text
RAMA_21201_ 03111005076_ 011096407_06_ref.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (46kB) | Request a copy
[thumbnail of RAMA_21201_ 03111005076_ 011096407_07_lamp.pdf] Text
RAMA_21201_ 03111005076_ 011096407_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (2MB) | Request a copy

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 (2.42μm). 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 μm. 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.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Hard Turning, Surface Roughness, Cutting Tool, Feed Rate, High Speed Steel, Stainless Steel 304.
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice > TJ1180 Machining, Ceramic materials--Machining-Strength of materials-Machine tools-Design and construction > TJ1180.N595 Machining
Divisions: 03-Faculty of Engineering > 21201-Mechanical Engineering (S1)
Depositing User: Prof Amrifan Saladin Mohruni
Date Deposited: 06 Nov 2019 05:06
Last Modified: 05 Dec 2019 11:02
URI: http://repository.unsri.ac.id/id/eprint/14805

Actions (login required)

View Item View Item