نتایج جستجو برای: workpiece temperature predicting
تعداد نتایج: 581332 فیلتر نتایج به سال:
A new simulation and verification system of belt grinding with industrial robots is presented in this paper. The workpiece surface is represented by a discrete height field, an array of extended height segments, and a fast collision detection algorithm using k-DOP bounding volumes is adopted to accelerate the localization of the contact area. A local grinding model is incorporated to decide the...
A critical aspect of smart machining systems is the appropriate management of knowledge and information to support effective decision-making. The uncertainty of model-based predictions of machining performance plays an important role in decision-making for machining optimization and adaptive control optimization. This paper presents a technique for managing modeling and measurement uncertaintie...
The principal features of two mathematical models that can be used to study non-linear oscillations of a workpiece – tool system during a milling operation are presented and explained in this article. These models are non-linear, non-homogeneous, delay-differential systems with time-periodic coefficients. In the treatment presented here, the sources of non-linearities are the multiple regenerat...
A main problem raised by arc welding manufacturing is the determination of the optimal process parameters to ensure weld quality as well as resource efficient and sustainable production. To address this problem a better process understanding is required. In this study thermal magneto hydrodynamic modeling of a welding arc is used to reach a deeper insight into the influence of the composition o...
With the development of aviation manufacturing industry, application range thin-walled parts is rapidly increasing. Accurate machining process and surface topography prediction are keys to ensuring quality. This article based on relative geometric relationship between real motion trajectory milling cutter workpiece; undeformed chip thickness equation two-dimensional contour feature algorithm es...
The thesis presents an approach to the fixture loading planning problem. That is, to plan the applied forces on the workpiece in order for it to be loaded into a manufacturing fixture. In our approach, a sequence of applied forces on the mass center of the workpiece is planned. The applied forces will push the workpiece to get in contact with all the locators. For this purpose, we developed a s...
A set of 2D steady state finite element numerical simulations of electromagnetic fields, eddy currents distribution and induction heating pattern has been done for different thicknesses of ametal workpiece. Comparison between the calculation results show the importance of workpiece thickness on induction heating process including electromagnetic field distribution, eddy currents pattern, heatin...
CAMEX is an expert system designed to plan machining processes for CNC (Computerized Numerical Control) cutting machines. At the present state of development it is constrained to parts for which 2 l/2 D description is sufficient. For this kinds of parts, CAMEX is able to read a drawing of a workpiece from an ordinary CAD file, to understand its 3-dimensional structure and generate a plan workpi...
This paper presents an optimal planning problem for workpiece measurement. Two sequential optimization algorithms are introduced to find maximum determinant solutions. Then, based on a reliability analysis of workpiece localization and the sequential optimization algorithms, a computer-aided probing strategy is proposed. With this strategy, given the desired translation and orientation error bo...
Surface quality including surface roughness and edge chipping is a key process measure in micro ultrasonic machining (Micro-USM) as an efficient process for micromachining of hard and brittle materials. Process parameters such as ultrasonic vibration amplitude, static load, type of tool material, type and size of abrasive particles and slurry concentration can influence the surface quality. How...
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