Simulation of Surface Topography Formed During the Intermittent Turning Processes

1991 ◽  
Vol 113 (2) ◽  
pp. 273-279 ◽  
Author(s):  
G. M. Zhang ◽  
S. Yerramareddy ◽  
S. M. Lee ◽  
S. C.-Y. Lu
Keyword(s):  
Surface Topography ◽  
Quantitative Estimate ◽  
Qualitative Evaluation ◽  
Turning Process ◽  
Machined Surface ◽  
Workpiece Surface ◽  
Vibratory Motion ◽  
Intermittent Turning ◽  
Geometric Motion

This paper presents a methodology which employs computer simulation to dynamically generate the topography of a surface machined during an intermittent turning process. The methodology is based on a mathematical model that characterizes the intermittent turning process as an alternating sequence of forced and free vibratory motion. The simulation of machining workpieces, with discontinuous geometries of arbitrary shape, is facilitated by representing the workpiece surface as a two-dimensional grid, with an index for each cell in the grid accounting for the feature boundaries. The tool vibratory motion is integrated with the tool geometric motion to form a basis for the construction of surface texture produced during machining. The simulation model not only provides for a qualitative evaluation of the surface accuracy through a graphic visualization of the surface topography, but also provides a quantitative estimate of the roughness quality of the machined surface.

scholarly journals Dynamic Generation of Machined Surfaces, Part 2: Construction of Surface Topography

1991 ◽  
Vol 113 (2) ◽  
pp. 145-153 ◽  
Author(s):  
G. M. Zhang ◽  
S. G. Kapoor
Keyword(s):  
Surface Topography ◽  
Random Excitation ◽  
Surface Generation ◽  
Distribution Model ◽  
Excitation System ◽  
Machined Surface ◽  
Spiral Trajectory ◽  
Vibratory Motion ◽  
Texture Generation ◽  
Simulation Results

In Part 1 of these two-part papers, a normal distribution model has been formulated to describe the random excitation system present during machining. Part 2 presents a methodology to dynamically generate the surface topography under the random excitation environment through computer simulation. The proposed methodology uses the tool vibratory motion along with the tool geometrical motion to construct the topography of a machined surface. Both experimental and simulation results confirm that when a small feed is used, the influence of the spiral trajectory of tool geometrical motion on the surface generation decays dramatically and the random excitation system, on the opposite, is strengthened playing a significant role in surface texture generation.

The Influence of Cutting Conditions on Surface Roughness during Steel 100Cr6 Grinding

2017 ◽  
Vol 261 ◽  
pp. 215-220
Author(s):  
Martin Novák ◽  
Natasa Naprstkova
Keyword(s):  
Surface Roughness ◽  
Bearing Steel ◽  
Cutting Conditions ◽  
Machining Process ◽  
Machined Surface ◽  
Workpiece Surface ◽  
Bearing Steels ◽  
Technology Products ◽  
Machined Surface Roughness

Machining of tool steels is often an important used technology. Products made from these materials are often used in mechanical engineering, and quality of workpiece surface roughness after machining respective grinding is one of the important parameters that to us speak about the quality of the machining process. The paper deals with the influence of cutting conditions when grinding bearing steel 100Cr (EN ISO) on machined surface roughness. This steel belongs to a group of bearing steels.

The Influence of Cutting Conditions on Surface Roughness during Steel X38CrMoV5 Grinding

2013 ◽  
Vol 581 ◽  
pp. 247-254 ◽  
Author(s):  
Martin Novák ◽  
Natasa Naprstkova
Keyword(s):  
Surface Roughness ◽  
Cutting Conditions ◽  
Machining Process ◽  
Tool Steels ◽  
Machined Surface ◽  
Workpiece Surface ◽  
Technology Products ◽  
Machined Surface Roughness ◽  
Grinding Tool

Machining of tool steels is often an important used technology. Products made from these materials are often used in mechanical engineering, and quality of workpiece surface roughness after machining respective grinding is one of the important parameters that to us speak about the quality of the machining process. The paper deals with the influence of cutting conditions when grinding tool steel X38CrMoV5 (EN ISO) on machined surface roughness.

Dynamics of flexible detail milling

2011 ◽  
Vol 225 (4) ◽  
pp. 299-309 ◽  
Author(s):  
S A Voronov ◽  
I A Kiselev
Keyword(s):  
Milling Process ◽  
Machining Process ◽  
Machined Surface ◽  
Workpiece Surface ◽  
Thin Walled Structures ◽  
Milling Operations ◽  
Efficient Processing ◽  
The Stability ◽  
Five Axis

The five-axis milling operations are commonly used in aerospace industry. For example, this operation is the base for the machining process of the turbine blade production. The milling operations of thin-walled structures cause the vibrations of the tool and the workpiece and this turn affect the quality of the workpiece surface. Modelling of the milling process is necessary to determine the proper cutting conditions for the required productivity and the surface quality. In this article, the geometry modelling algorithm for five-axis milling process is proposed. Dynamics of the machined surface is modelled using the finite-element method. The obtained results make possible to conclude about the stability of milling process and to calculate the efficient processing conditions at which the amplitude of the generated vibrations does not exceed the admissible level. The results of this research can be used while the milling process technologies are designed. Especially, it is significant for the machining of hard-to-machine materials and processing of heat-resistant alloys in space and aircraft industries.

scholarly journals Investigation of Surface Quality for Minor Scale Diameter of Biodegradable Magnesium Alloys during the Turning Process Using a Different Tool Nose Radius

Metals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1174
Author(s):  
Sophal Hai ◽  
Hwa-Chul Jung ◽  
Won-Hyun Shim ◽  
Hyung-Gon Shin
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Turning Process ◽  
Nose Radius ◽  
Machined Surface ◽  
Tool Nose Radius

The main objective of the study is to analyze the various cutting parameters to investigate the surface quality of the minor scale diameter of magnesium alloy in the dry turning process using a different tool nose radius (r). The surface roughness (Ra) was gauged, and micro-images produced by scanning electron microscopy (SEM) were reviewed to evaluate the machined surface topography. The analysis of variance (ANOVA), linear regression model and signal-to-noise (S/N) ratio were applied to investigate and optimize the experimental conditions for surface roughness. The study results imply that the feed rate and tool nose radius significantly affected the surface quality, but the spindle speed did not. The linear regression model is valid to forecast the surface roughness. The cutting parameters for optimum surface quality are a combination of a spindle speed of 710 rpm, a feed rate of 0.052 mm/rev and a tool nose radius of 1.2 mm. The machined surface topography contains the feed marks, micro-voids, material side and material debris, but they become smaller and decrease at a lower feed rate, larger tool nose radius and higher spindle speed. These results show the good surface quality of magnesium alloys in a dry turning process, which could be applied in implant, orthopedic and trauma surgery.

Study on the Machined Surface Topography and Performances on Electrochemical Finishing

2005 ◽  
Vol 291-292 ◽  
pp. 579-584
Author(s):  
H.Y. Li ◽  
Xiao Mei Liu ◽  
H.J. Liu ◽  
Jian Cheng Fang
Keyword(s):  
Corrosion Resistance ◽  
Fatigue Strength ◽  
Surface Topography ◽  
Contact Stiffness ◽  
Machined Surface ◽  
Wear And Tear ◽  
Mechanical Performances ◽  
Electrochemical Finishing

In this paper, electrochemical finishing（ECF） is presented. Compared with conventional finishing technology, the characterization of surface topography machined by ECF and its effect on the performance, including friction coefficient, original wear and tear, precision durability, fatigue strength, contact stiffness, corrosion resistance and adhesiveness are analyzed and studied. Experimental results have testified that ECF can observably improve surface quality of parts and finally improve its physical mechanical performances and lifetime to a large extent.

scholarly journals Computing of the Theoretical Value of Roughness Parameter Rz when Turning with Helical Cutting Edge

2016 ◽  
Vol 13 (2) ◽  
pp. 9-10
Author(s):  
Michal Šajgalík ◽  
Anton Martikáň ◽  
Andrej Czán ◽  
Jozef Pile ◽  
Jozef Holubják ◽  
...  
Keyword(s):  
Roughness Parameter ◽  
Cutting Parameters ◽  
Cutting Edge ◽  
Turning Process ◽  
Kinematic Parameters ◽  
Machined Surface ◽  
Mathematical Formula ◽  
Geometric Characteristics

Abstract This article describes process of computing and identifying of the value of roughness parameter Rz deduced from basic kinematic and geometric characteristics of turning technology of machining with tool with helical cutting edge. The final mathematical formula is deduced from graphic sketch of turning process and consequently identified using all the known geometric and kinematic parameters. This formula can be used to theoretic evaluation of geometric and cutting parameters influence on the quality of machined surface determined by roughness characteristic of theoretic parameter Rz.

A Hybrid Inpainting Model Combining Diffusion and Enhanced Exemplar Methods

2021 ◽  
Vol 13 (3) ◽  
pp. 1-19
Author(s):  
Sreelakshmy I. J. ◽  
Binsu C. Kovoor
Keyword(s):  
Patch Size ◽  
Image Inpainting ◽  
Qualitative Evaluation ◽  
Natural Images ◽  
External Information ◽  
Image Editing ◽  
Model Combining ◽  
Proposed Model ◽  
The World

Image inpainting is a technique in the world of image editing where missing portions of the image are estimated and filled with the help of available or external information. In the proposed model, a novel hybrid inpainting algorithm is implemented, which adds the benefits of a diffusion-based inpainting method to an enhanced exemplar algorithm. The structure part of the image is dealt with a diffusion-based method, followed by applying an adaptive patch size–based exemplar inpainting. Due to its hybrid nature, the proposed model exceeds the quality of output obtained by applying conventional methods individually. A new term, coefficient of smoothness, is introduced in the model, which is used in the computation of adaptive patch size for the enhanced exemplar method. An automatic mask generation module relieves the user from the burden of creating additional mask input. Quantitative and qualitative evaluation is performed on images from various datasets. The results provide a testimonial to the fact that the proposed model is faster in the case of smooth images. Moreover, the proposed model provides good quality results while inpainting natural images with both texture and structure regions.

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