Freeform surface topography model for ultraprecision turning under the influence of various errors

2021 ◽  
Vol 71 ◽  
pp. 429-449
Author(s):  
Shuai He ◽  
Jinzhou Wu ◽  
Jianping Xuan ◽  
Wenhao Du ◽  
Qi Xia ◽  
...  
Keyword(s):  
Surface Topography ◽  
Freeform Surface ◽  
Topography Model

Three-Dimensional Simulation of Wheel Topography

2011 ◽  
Vol 487 ◽  
pp. 149-154 ◽  
Author(s):  
Qiang Feng ◽  
Qian Wang ◽  
Cheng Zu Ren
Keyword(s):  
Surface Topography ◽  
Grain Shape ◽  
Three Dimensional ◽  
Angle Distribution ◽  
Structural Components ◽  
Wheel Surface ◽  
Real Situation ◽  
Wheel Topography ◽  
Topography Model ◽  
Dimensional Simulation

Simulation of wheel surface topography is one key aspect of modeling the grinding process. A three-dimensional wheel topography model not only makes the simulated wheel topography more close to the real situation, but also benefits evaluation of wheel machinability and wears condition. This paper presents a physical model for simulation of three-dimensional wheel surface topography. Wheel structural components, grain shape, angle distribution of cutting edges, and the binding materials are considered in the model. Feasibility of the model is indicated by the simulation examples.

A Framework of a Surface Generation Model in Fast Tool Servo (FTS) Machining of Optical Microstructures

2007 ◽  
Vol 364-366 ◽  
pp. 1274-1279
Author(s):  
Tsz Chun Kwok ◽  
Chi Fai Cheung ◽  
Suet To ◽  
Wing Bun Lee
Keyword(s):  
Surface Topography ◽  
Optimization Model ◽  
Tool Path ◽  
Rotational Frequency ◽  
Cutting Conditions ◽  
Surface Generation ◽  
Tool Geometry ◽  
Generation Model ◽  
Fast Tool Servo ◽  
Topography Model

In this paper, a framework of surface generation model in the fast tool servo (FTS) machining of optical microstructures will be described. The integrated model is totally composed of a tool path generator (TPG), a surface topography model (STM) and an optimization model (OM). To develop the tool path generator, two parts should be involved. The first part is the tool path generated based on cutting conditions such as the feed rate and spindle speed, the geometry of optical microstructures, and diamond tool geometry. Another part is the synchronized motion generated by the tool actuation of the FTS at a bandwidth higher than the rotational frequency of the spindle. The surface topography model will be generated based on the TPG and used to predict the technological aspects of FTS machining. It takes into the account the kinematic and dynamic characteristics of the cutting process. The former includes the tool path generated by the tool path generator. The later includes the relative vibration between the tool and the workpiece caused by the axial error motion of the spindle as well as the synchronized motion of the FTS system. The optimization model will be undertaken by an iterative algorithm, which will be developed based on the TPG and STM. The OM will be expected to output the verified tool path, the suggested optimum cutting conditions, and the diagrams with predicted cutting performance characteristic and process parameters being investigated. Eventually, the successful development of this surface generation model can contribute for the knowledge of ultra-precision machining with FTS and the further development of the performance of the machining system.

Influencing Factors of Surface Generation in Ultra-Precision Fly Cutting

2016 ◽  
Vol 1136 ◽  
pp. 221-226
Author(s):  
Lan Zhan ◽  
Fei Hu Zhang ◽  
Chen Hui An ◽  
Zhi Peng Li
Keyword(s):  
Surface Topography ◽  
Influencing Factors ◽  
Surface Profile ◽  
Surface Generation ◽  
Cutting Machine ◽  
Fly Cutting ◽  
3D Surface ◽  
Ultra Precision ◽  
Topography Model ◽  
Great Focus

Ultra-precision fly cutting machines have long been the hardest one to compliant and induce great focus of researchers. In this paper, a surface topography model is proposed to predict the surface generation in an ultra-precision fly cutting machine. The building of surface topography model is based on the trace of the tool tip. With the 3D surface profile simulations of workpieces, several influencing factors of surface topography, especially the factors related to micro waviness error, are studied.

Surface topography model with considering corner radius and diameter of ball-nose end miller

2020 ◽  
Vol 106 (9-10) ◽  
pp. 3975-3984 ◽  
Author(s):  
Jing Zhang ◽  
Song Zhang ◽  
Dongdong Jiang ◽  
Jiachang Wang ◽  
Shaolei Lu
Keyword(s):  
Surface Topography ◽  
Corner Radius ◽  
Topography Model

Navigation Shape and Surface Topography Model of Itokawa

2006 ◽  
Author(s):  
Makoto Maruya ◽  
Hiroshi Ohyama ◽  
Masashi Uo ◽  
Noboru Muranaka ◽  
Hideo Morita ◽  
...  
Keyword(s):  
Surface Topography ◽  
Topography Model

scholarly journals Modelling and Analysis of Topographic Surface Properties of Grinding Wheels

2021 ◽  
Vol 5 (4) ◽  
pp. 121
Author(s):  
Praveen Sridhar ◽  
Daniel Mannherz ◽  
Kristin M. de Payrebrune
Keyword(s):  
Surface Topography ◽  
Cubic Boron Nitride ◽  
Volume Ratio ◽  
Fabrication Process ◽  
Grinding Wheel ◽  
Grinding Wheels ◽  
Hard Materials ◽  
Abrasive Grains ◽  
Model And Simulation ◽  
Topography Model

Grinding is one of the effective manufacturing processes with which to produce highly accurate parts with an ultra-fine surface finish. The tool used to remove materials in grinding is called the grinding wheel. Abrasive grains made of extremely hard materials (alumina, silica, cubic boron nitride, and diamond) having a definite grit size but a random shape are bonded on the circumferential surface of the grinding wheel. The fabrication process is controlled so that the wheel exhibits a prescribed structure (in the scale of soft to hard). At the same time, the distribution of grains must follow a prescribed grade (in the scale of dense to open). After the fabrication, the wheel is dressed to make sure of its material removal effectiveness, which itself depends on the surface topography. The topography is quantified by the distribution and density of active abrasive grains located on the circumferential surface, the grains’ protrusion heights, and their pore volume ratio. The prediction of the surface topography mentioned above requires a model that considers the entire manufacturing process and the influences on the grinding wheel properties. This study fills this gap in modelling the grinding wheel by presenting a surface topography model and simulation framework for the effect of the grinding wheel fabrication process on the surface topography. The simulation results have been verified by conducting experiments. This study will thus help grinding wheel manufacturers in developing more effective grinding wheels.

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