Angga Asteriasti Aji (1), Fachrizal Cesar Putra (2), Bahdin Ahad Badia (3), Muhammad Idris Putra (4), Wahyu Puji Sahputra (5), Mardis Darwis (6), Raja Agung Hasudungan Simanjuntak (7)
The development of the manufacturing industry is growing very rapidly so that the products of the manufacturing industry must have high quality, especially machining products such as turning products. This research investigates the effect of turning parameters, namely feed and spindle rotation on surface roughness and vibration amplitude of turning AISI 1045 steel using carbide tools. Surface roughness measurements were taken using an OLS4100 Microscope and vibration amplitude was measured using a Vibxpert II. From the results of the analysis conducted, the feed factor is the most significant factor on the results of surface roughness and vibration amplitude. The most optimal machining parameters for surface roughness are feed 0.1 mm/put (lvl 1), spindle speed 400 rpm (lvl4) with a surface roughness value of 4.757 µm. The most optimal machining parameters for vibration amplitude are feed 0.1 mm/put (lvl 1) and spindle speed 100 rpm (lvl 1) with a vibration amplitude value of 0.11 m/s.
Aleksandrovich, R. V., & Siamak, G. (2014). THE EFFECT OF TOOL CONSTRUCTION AND CUTTING PARAMETERS ON SURFACE ROUGHNESS AND VIBRATION IN TURNING OF AISI 1045 STEEL USING TAGUCHI METHOD. Modern Mechanical Engineering, 4(1), 8–18. https://doi.org/10.4236/mme.2014.41002
Fischer, A., & Eberhard, P. (2011). SIMULATION-BASED STABILITY ANALYSIS OF A THIN-WALLED CYLINDER DURING TURNING WITH IMPROVEMENTS USING AN ADAPTRONIC TURNING CHISEL. Archive of Mechanical Engineering, 58(4). https://doi.org/10.2478/v10180-011-0023-5
Industrial Engineering Letters (2021) OPTIMIZATION OF PROCESS PARAMETERS OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE IN ORTHOGONAL TURNING OF AISI 1045 CARBON STEEL USING TAGUCHI TECHNIQUE. https://doi.org/10.7176/iel/11-1-03
Kumar, M. S., & Kumar, K. K. (2017). OPTIMIZATION TECHNIQUES IN TURNING OPERATION BY USING TAGUCHI METHOD. International Journal of Engineering and Advanced Technology (IJEAT), 6(6), 45–50. https://doi.org/ISSN:2249-8958
Muley, R. A., Kulkarni, A. R., & Deshmukh, R. R. (2016, May 8). OPTIMIZATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE IN TURNING OF AISI D2. In Proceedings of the 54th IRF International Conference, Pune, India. ISBN: 978-93-86083-10-4.
Rama, K. K., & Srinivas, J. (2011). STUDY OF TOOL DYNAMICS WITH A DISCRETE MODEL OF WORKPIECE IN ORTHOGONAL TURNING. International Journal of Machining and Machinability of Materials, 10(1–2), 71–85.
Sangwan, K. S. (2011). DEVELOPMENT OF A MULTI-CRITERIA DECISION MODEL FOR JUSTIFICATION OF GREEN MANUFACTURING SYSTEMS. Green Economics, 5, 285–305.
Yusup, N., Mohd, A., Zaiton, S., & Hashirn, M. (2012). EVOLUTIONARY TECHNIQUES IN OPTIMIZING MACHINING PARAMETERS: REVIEW AND RECENT APPLICATIONS (2007–2011). Expert Systems with Applications, 39, 9909–9927.