{'fraction_non_alphanumeric': 0.02081977878985036, 'fraction_numerical': 0.011060507482108002, 'mean_word_length': 4.915384615384616, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Analysis of Cutting Parameters in CNC Turning of AISI 52100 Steel with Coated Cutting Tool

In the automotive industry, machining is an essential part of the production process. On mild steel, a turning process was utilised to create shafts of varied diameters. This work attempts to optimise multiple factors such as surface roughness, MRR, and tool wear during turning operations on various steel grades. The average surface roughness (Ra) is one of the most important measurements of surface quality during the machining process, and it is primarily influenced by a number of machining parameters such as true rake angle and side cutting edge angle, cutting speed, feed rate, depth of cut, nose radius, and machining time. The Taguchi technique was used to build a surface roughness model to study how machining factors such as feed rate, tool geometry, nose radius, and machining duration impact the roughness of the surface created during the dry turning phase. This study demonstrates how to determine surface roughness values for CNC turning of AISI 52100 steel with varying coated tool nose radius using tribiological parameters. The test was carried out on a commercial CNC machine with coated tool nose radiuses of 0.4, 0.8, and 1.2 mm. Further investigation revealed that the CNC machine's design had been completed in Solid Works. Static and modal analyses were carried out using ANSYS Workbench. A static structural analysis of a CNC machine was carried out using 1G lading, which met the minimum Yield Strength requirement.