نتایج جستجو برای: machine tool optimization

تعداد نتایج: 896673  

Journal: :International Journal of Machine Tools & Manufacture 2023

Advanced technologies for the calibration of machine tools are presented. Kinematic errors independently their causes classified into within one-axis as intra-axis errors, between axes inter-axis and volumetric errors. As major technological elements tool calibration, measurement methods, modeling theories, compensation strategies addressed. The criteria selecting a combination from point view ...

Journal: :IEEE Transactions on Instrumentation and Measurement 2021

Deflectometry is a promising method for the in situ measurement of specular surfaces. However, accuracy this largely depends on geometrical calibration, which suffers from low convergence rate and local minima during optimization. Off-machine calibration results change geometry parameters due to repeated disassembly system ambient temperature, affects accuracy. This article presents flexible on...

Journal: :journal of optimization in industrial engineering 2013
davod abachi fariborz jolai hasan haleh

tendency to optimization in last decades has resulted in creating multi-product manufacturing systems. production planning in such systems is difficult, because optimal production volume that is calculated must be consistent with limitation of production system. hence, integration has been proposed to decide about these problems concurrently. main problem in integration is how we can relate pro...

Journal: :E3S web of conferences 2022

Oil particles generated from metalworking fluids(MWFs) in machining process can lead serious health problem to operator. Local exhaust hood is an effective engineering method capture oil and other contamination which wildly used manufacture workshop. In this paper, efficiency with various height, air volume particle size was gotten by Computational Fluid Dynamic(CFD) technology. Though further ...

2012
Oleg Kovářík Richard Málek

Meta-learning is a method of improving results of algorithm by learning from metafeatures which describe problem instances and from results produced by various algorithms on these instances. In this project we tried to apply this idea, which was already proved to be useful in machine learning, to combinatorial optimization. We have developed a general software tool called SEAGE to extract meta-...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2021

2010
Mud-Armeen Munlin

This paper presents the algorithms to interactively optimize the tool path of the five-axis milling machine. The algorithms employ the inverse kinematics to derive the corresponding trajectories (rotation and translation movement) of the five-axis machine. The trajectory of the tool path is not unique and depends on the initial set up of the workpiece as well as the combined rotations of the ma...

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