A Virtual Environment for Machining Operations Simulation and Machining Evaluation

2011 ◽  
pp. 88-104
Author(s):  
Bilalis Nicolaos ◽  
Petousis Markos
Keyword(s):  
Surface Roughness ◽  
Virtual Environment ◽  
Quantitative Data ◽  
Graphical Model ◽  
Machined Surface ◽  
Visualization System ◽  
Machined Surface Roughness ◽  
Machining Operations ◽  
Cloud Of Points

A virtual reality machine shop environment has been developed capable of simulating the operation of a three axis milling machine and it has been integrated with a graphical model for the calculation of quantitative data affecting the machined surface roughness. The model determines the machined surface topomorphy as a cloud of points, retrieved from the visualization system Z buffer. The current study describes the developed model for milling processes simulation in a virtual environment and the determination of the surface roughness of the processed surfaces. Also, the methodology for the verification of the quantitative data acquired by the system is presented. Results were verified with data determined in cutting experiments and by another numerical model that was integrated to the system.

A Virtual Environment for Machining Operations Simulation and Machining Evaluation

2011 ◽  
pp. 596-613
Author(s):  
Bilalis Nicolaos ◽  
Petousis Markos
Keyword(s):  
Surface Roughness ◽  
Virtual Environment ◽  
Quantitative Data ◽  
Graphical Model ◽  
Machined Surface ◽  
Visualization System ◽  
Machined Surface Roughness ◽  
Machining Operations ◽  
Cloud Of Points

A virtual reality machine shop environment has been developed capable of simulating the operation of a three axis milling machine and it has been integrated with a graphical model for the calculation of quantitative data affecting the machined surface roughness. The model determines the machined surface topomorphy as a cloud of points, retrieved from the visualization system Z buffer. The current study describes the developed model for milling processes simulation in a virtual environment and the determination of the surface roughness of the processed surfaces. Also, the methodology for the verification of the quantitative data acquired by the system is presented. Results were verified with data determined in cutting experiments and by another numerical model that was integrated to the system.

Development of a Virtual Environment for Surface Topomorphy and Roughness Determination in Milling Operations

2008 ◽  
Vol 8 (2) ◽  
Author(s):  
Bilalis Nikolaos ◽  
Petousis Markos
Keyword(s):  
Surface Roughness ◽  
Graphical Model ◽  
Three Dimensional ◽  
Commercial Development ◽  
Machined Surface ◽  
Visualization System ◽  
Milling Operations ◽  
Machined Parts ◽  
Cloud Of Points

Surface roughness is a key parameter for determining the quality of machined parts. A graphical model for the calculation of quantitative data affecting surface roughness of machined surfaces was developed. The model allows the determination of the accurate machined surface in cloud of points form retrieved from the visualization system Z buffer in a three dimensional graphics environment developed in OPENGL. Critical quantitative parameters for surface roughness, such as RaRyRtiRz, and mean line, are determined from this topomorphy. The results together with the operations are visualized in a virtual machine shop environment developed in a commercial development toolkit.

Critical Feed/Tooth Value Providing Finest Machined Roughness by Peripheral Cutting with Micro Endmills

2016 ◽  
Vol 874 ◽  
pp. 232-237
Author(s):  
Yasunori Kobayashi ◽  
Haruhisa Sakamoto ◽  
Akihito Ishii ◽  
Masayori Itoh
Keyword(s):  
Surface Roughness ◽  
Chip Thickness ◽  
Machined Surface ◽  
Workpiece Surface ◽  
Machining Conditions ◽  
Machined Surface Roughness ◽  
Tool Diameter ◽  
Cutting Speeds ◽  
Machined Surfaces

This study concerns the rational determination of machining conditions for micro endmills that are less than 1.0mm in diameter. The characteristics of machined surface roughness are measured according to machining conditions, especially the feed per tooth Sz. The machined surfaces conditions are also observed with SEM. From the experiments, the following are made clear: (1) The feed per tooth Sz at the critical value Szc makes machined surface roughness the finest. (2) The conditions of Sz larger than Szc make cutting marks regular, that is, stable cutting can be done under those conditions, and then, the roughness improves according to decreasing Sz. (3) The conditions of Sz smaller than Szc cause irregular machined surfaces including pileups and diggings, that is, cutting becomes unstable conditions. The excessively thin chip-thickness prevents from stably engaging edge on workpiece surface. (4) Although the values of Szc are independent from the type of machine tools and cutting speeds, the values decrease according to decrease in tool diameter. (5) The value of Szc increases when tool has worn over its limit. Therefore, in order to determine machining conditions rationally, the changing behavior of Szc should be understood according to tool wear.

Anticorrosion property enhancement of Al–Li alloy 2A97 by lowering machined surface roughness

2020 ◽  
Vol 71 (12) ◽  
pp. 1980-1988 ◽  
Author(s):  
Jintao Niu ◽  
Zhanqiang Liu ◽  
Guijie Wang ◽  
Weimin Huang ◽  
Ying Xu
Keyword(s):  
Surface Roughness ◽  
Anticorrosion Property ◽  
Machined Surface ◽  
Machined Surface Roughness

Experimental Investigation on Surface Roughness in Precision Cutting Ti6Al4V Alloy Using Diamond Tools

2014 ◽  
Vol 800-801 ◽  
pp. 576-579
Author(s):  
Lin Hua Hu ◽  
Ming Zhou ◽  
Yu Liang Zhang
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Polycrystalline Diamond ◽  
Cutting Parameters ◽  
Limited Range ◽  
Nose Radius ◽  
Machined Surface ◽  
Machined Surface Roughness ◽  
Titanium Alloy Ti6al4v ◽  
Pcd Tools

In this work, cutting experiments were carried out on titanium alloy Ti6Al4V by using polycrystalline diamond (PCD) tools to investigate the effects of the tool geometries and cutting parameters on machined surface roughness. Experimental results show machined surface roughness decreases with increases in the flank angle, tool nose radius and cutting speed within a limited range respectively, and begins to increase as the factors reaches to certain values respectively. And machined surface roughness decreases with increases in feed rate and cutting depth respectively.

COMPARISON OF PREPARATION METHODS IN TERMS OF TOOL LIFE AND SURFACE ROUGHNESS

2021 ◽  
Vol 2021 (4) ◽  
pp. 4836-4840
Author(s):  
ROBERT STRAKA ◽  
◽  
JOZEF PETERKA ◽  
TOMAS VOPAT ◽  
◽  
...  
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Cutting Parameters ◽  
Turning Process ◽  
Machined Surface ◽  
Preparation Methods ◽  
Machined Surface Roughness ◽  
Cutting Inserts ◽  
Drag Finishing ◽  
Edge Preparation

The article compares two cutting edge preparation methods and their influence on the machined surface roughness of the difficult to cut nickel alloy Inconel 718 and the tool wear of cutting inserts made of cemented carbide. The manufacturing and preparation process of cutting inserts used in the experiment were made by Dormer Pramet. The preparation methods used in the experiment were drag finishing and brushing. Cutting parameters did not change during the whole turning process to maintain the same conditions in each step of the process and were determined based on tests for a semi-finishing operation of the turning process. To obtain durability of 25 to 30 minutes with controlled development of the tool wear the cutting parameters were determined with cooperation with the cutting inserts manufacturer.

Evaluation of DPI Change Impact on Laser Machined Surface Quality

2014 ◽  
Vol 474 ◽  
pp. 369-374
Author(s):  
Jana Knedlova ◽  
Libuše Sýkorová ◽  
Vladimír Pata ◽  
Martina Malachová
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Laser Micromachining ◽  
Technological Parameters ◽  
Machined Surface ◽  
Machined Surface Quality ◽  
Machined Surface Roughness ◽  
Change Impact

The article focuses on the field of PMMA laser micromachining at change of the technological parameters. The aim was to evaluate machined surface roughness at different setting of DPI definition (number of dots paths on square inch). Commercial CO2laser Mercury L-30 by firm LaserPro, USA was used for experimental machining. Ray of laser could be focused on mark diameter d=185 mm.

Analysis of Cutting Parameters Influence on the Machined Surface Roughness Obtained by Turning of a Heat Treated Bearing Steel

2015 ◽  
Vol 809-810 ◽  
pp. 195-200
Author(s):  
Constatin Rotariu ◽  
Sevasti Mitsi ◽  
Dragos Paraschiv ◽  
Octavian Lupescu ◽  
Sergiu Lungu ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Surface Roughness ◽  
Hard Turning ◽  
Cutting Parameters ◽  
Bearing Steel ◽  
Machined Surface ◽  
Heat Treated ◽  
Machined Surface Roughness ◽  
Bearing Rings ◽  
Quality Surface

In this paper we analyze the influence of cutting parameters on the surface quality, surface roughness respectively, processed by turning when heat treated bearing steel, also called hard turning, and processing by turning of bearing steel without heat treatment. We set parameters of the cutting regime influencing the achievement of roughness surfaces which must be within the predetermined requirements if bearing rings exceeding 500 mm in diameter. This analysis will be done by statistical methods using the software Minitab 14.

3D Roughness Parameters as Factors in Determining the Evolution of Effective Stress Concentration Factors in Fatigue Processes

2012 ◽  
Vol 248 ◽  
pp. 504-510 ◽  
Author(s):  
Valentin Mereuta ◽  
Mihaela Buciumeanu ◽  
Liviu Palaghian
Keyword(s):  
Surface Roughness ◽  
Fatigue Life ◽  
Stress Concentration ◽  
Effective Stress ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Machined Surface Roughness ◽  
Concentration Factors ◽  
Stress Concentration Factors ◽  
Effective Stress Concentration Factor

The influence of machined surface roughness on the fatigue life of S355JR steel has been investigated. The specimen have been machined with three roughness levels and tested under plane fatigue. The surface roughness parameters were used to estimate the effective stress concentration factors Kt using the Arola-Ramulu model and Neuber model. In this paper it is proposed a modification for both models. Based on the experimental results was obtained the evolution of the effective stress concentration factor for the original Arola-Ramulu and Neuber models and also for the modified ones.

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