scholarly journals DYNAMIC PERFORMANCE OPTIMIZATION FOR NUMERICAL CONTROL SYSTEMS

1965 ◽  
Author(s):  
J Snow ◽  
J Wang ◽  
J Costanza
2010 ◽  
Vol 118-120 ◽  
pp. 815-819
Author(s):  
Bo Wang ◽  
Wei Sun ◽  
Yan Chen ◽  
Le Tang ◽  
Bang Chun Wen

The dynamic performance of numerical control (NC) machine is not only basis of evaluation for the vibration resistance and stability, but also theory basis of optimizing dynamic performance, and improving processed quality. As digital design method, visual design realizes "visibility" during the whole design process, increases design efficiency and guarantees the quality, which make visual design preferred design method in large mechanical engineering. In this paper, the analysis of dynamic performance on NC machine and visual design method will be integrated, taking a NC machining center built by Shenyang machine tool group as a study case, the dynamic visual design flow to be proposed, including the design purpose, content and design methods, finally, the dynamic performance of visual simulation we have done, taking the strength, inherent characteristics and harmonic response into account, offers the foundation about structural performance optimization on the machine.


1974 ◽  
Vol 96 (1) ◽  
pp. 36-40 ◽  
Author(s):  
A. E. Middleditch

Automatic machine tools have traditionally been controlled by hard-wired numerical controllers (NC). Recently, systems have been introduced which use a general purpose mini-computer (CNC). Some of these computer systems generate position references and close the position control loops of the machine tool’s feed axes using software, while others retain these functions in hardware. If the software approach is used, the dynamic performance of the system may be degraded. This paper investigates the constraints necessary to avoid severe performance degradation.


Author(s):  
Tengjiao Lin ◽  
Daokun Xie ◽  
Ziran Tan ◽  
Bo Liu

The aim of this paper is to investigate the influence of structure parameters on the vibration characteristics and improve the dynamic performance of marine gearbox. A finite element model was established to solve the dynamic response by using modal superposition method. Based on the theory of multi-objective optimization design, the structure sensitivity analysis model of marine gearbox was established, which takes the structure parameters of the housing as design variables. The modal and response sensitivity was obtained by using the optimal gradient method. According to the results of sensitivity analysis, a modal and response optimization model of marine gearbox was established. The objective was to avoid natural frequencies from the excitation frequencies and minimize the root mean square of vibration acceleration of the evaluating points on the surface of housing. Then the modal optimization and response optimization of gearbox were carried out by using zero-order and first-order optimization method. The results indicate that the dynamic optimization of the gearbox can be achieved. After optimization, the amplitude of vibration acceleration of the evaluating points on the housing surface has been reduced and the resonance of marine gearbox can be avoided.


2022 ◽  
Vol 244 ◽  
pp. 110353
Author(s):  
Aobo Zhang ◽  
Zhenju Chuang ◽  
Shewen Liu ◽  
Li Zhou ◽  
Yan Qu ◽  
...  

2018 ◽  
Vol 13 (4) ◽  
pp. 1037-1056 ◽  
Author(s):  
Huthaifa AL-Khazraji ◽  
Colin Cole ◽  
William Guo

Purpose This paper aims to optimise the dynamic performance of production–inventory control systems in terms of minimisation variance ratio between the order rate and the consumption, and minimisation the integral of absolute error between the actual and the target level of inventory by incorporating the Pareto optimality into particle swarm optimisation (PSO). Design/method/approach The production–inventory control system is modelled and optimised via control theory and simulations. The dynamics of a production–inventory control system are modelled through continuous time differential equations and Laplace transformations. The simulation design is conducted by using the state–space model of the system. The results of multi-objective particle swarm optimisation (MOPSO) are compared with published results obtained from weighted genetic algorithm (WGA) optimisation. Findings The results obtained from the MOPSO optimisation process ensure that the performance is systematically better than the WGA in terms of reducing the order variability (bullwhip effect) and improving the inventory responsiveness (customer service level) under the same operational conditions. Research limitations/implications This research is limited to optimising the dynamics of a single product, single-retailer single-manufacturer process with zero desired inventory level. Originality/value PSO is widely used and popular in many industrial applications. This research shows a unique application of PSO in optimising the dynamic performance of production–inventory control systems.


2012 ◽  
Vol 246-247 ◽  
pp. 57-61
Author(s):  
Lin Li ◽  
Chan Ji Shan ◽  
Jun Luo ◽  
Nan Xu

With the development of linux and μC/O dual-core embedded operating system, its research areas have been broadened wider and wider. This paper aims to illustrate its importance in engineering practice on the basis of its application in the technological process of injection molding machines and numerical control machines to arrive at its natural conclusion that dual-core system has a brighter and wider prospect by using Linux and μC /OS to solve the problems of Linux because it is more and more widely applied in engineering, mechanical control systems and many other fields such as mobile communications as well as digitalized network, and now is becoming more and more demanded with the rapid development of scientific technology.


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