Numerical robust optimization of spindle speed for milling process with uncertainties

Zhang, Xiaoming; Zhu, Limin; Zhang, Dong; Ding, Han; Xiong, Yan

doi:10.1016/j.ijmachtools.2012.05.002

Cited by 44 publications

(17 citation statements)

References 24 publications

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“…On the whole, the development of algorithm with the consideration of uncertainty and dynamics which can adaptively adjust the variances in problem is a major trend. For the modeling of uncertainty and dynamics, refer to the references [76][77][78][79][80][81][82][83][84][85][86][87].…”

Section: Modeling Of Uncertainty and Dynamicsmentioning

confidence: 99%

Recent Advances of Intelligent Optimization Algorithm in Manufacturing

Tao

Laili

Zhang

2014

Springer Series in Advanced Manufacturing

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Due to its good versatility and independence, intelligent optimization algorithm has largely shortened the time of decision-making in large-scale optimization problems of manufacture. However, lower searching time often conflicts with the searching accuracy in most cases. To improve the problem solving capability, research in intelligent optimization algorithm based on different domain characteristics never stopped. From the view of manufacturing, this chapter classified and comprehensively analyzed all kinds of manufacturing optimization problems and their general methods, illustrated the application features and challenges of intelligent optimization algorithm in manufacturing, and summarized the development needs and trends of intelligent optimization algorithm in the field of manufacturing system.

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Section: Modeling Of Uncertainty and Dynamicsmentioning

confidence: 99%

Recent Advances of Intelligent Optimization Algorithm in Manufacturing

Tao

Laili

Zhang

2014

Springer Series in Advanced Manufacturing

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“…In order to increase the flexibility in manufacturing in such an uncertain and constantly changing environment, great efforts have been made. These include distributed process planning [3], intelligent process planning [4], reconfigurable process planning [5] as well as machining parameter optimization based on real-time cutting data [6]. However, adaptive machining is still far from practice especially for complex parts consisting of various intersecting features.…”

Section: Introductionmentioning

confidence: 99%

Combining Dynamic Machining Feature With Function Blocks for Adaptive Machining

Liu

Wang

2016

IEEE Trans. Automat. Sci. Eng.

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Feature-based technologies are widely researched for manufacturing automation. However, in current feature models, features once defined remain constant throughout the whole manufacturing lifecycle. This static feature model is inflexible to support adaptive machining when facing frequent changes to manufacturing resources. This paper presents a new machining feature concept that facilitates responsive changes to the dynamics of machining features in 2.5/3D machining. Basic geometry information for feature construction of complex parts with various intersecting features is represented as a set of meta machining features (MMF). Optimum feature definition is generated adaptively by choosing optimum merging strategies of MMFs according to the capabilities of the selected machine tool, cutter, and cutting parameters. A composite function block for dynamic machining feature modelling is designed with Basic Machining Feature Function Block, Meta Machining Feature Extraction Function Block and Feature Interpreter Function Block. Once changes of the selected machining resources occur, they are informed as input events and machining features are then updated automatically and adaptively based on the event-driven model of function blocks. An example is provided to demonstrate the feasibility and benefits of the developed methodology.Note to Practitioners-In this paper, an important problem in most feature-based machining systems is addressed: when the selected machine tool, cutters or cutting parameters are changed due to reasons like product changeover, urgent job insertion, and broken tools, the adjustment or optimization to the machining plan is carried out based on the existing feature model. Influences of the machining resources changes to the feature model are ignored. Thus, it is impossible to get the real optimal machining result. The proposed concept of dynamic machining feature integrates the feature definition of a part to the capabilities of the selected machining resources. By applying the event-driven model of function blocks, features can be generated adaptively and automatically during the whole dynamic manufacturing lifecycle.Index Terms-Adaptive machining, dynamic feature, function block.

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“…However, there are some shortcomings, the research analysis the dynamic performance of the machine spindle remanufacturing except modal analysis, also conducted its static analysis and dynamic simulation of the spindle process, it is consistency through modal analysis and theoretical analysis, verification the correctness of the design method, which can be used to guide the actual scene [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the mechanical dynamic performance for the CNC machine spindle remanufacturing

Liu

Cheng

et al. 2016

Integrated Ferroelectrics

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In this paper, the CNC machine spindle after remanufacturing is researched as a object on the multi-constrained state. At first, it is established a three-dimensional simulation model for a CNC milling machine spindle system in theory, secondly this article uses the CATIA software of finite element analysis function to analysis the remanufacturing of machine spindle system static. Through dynamic analysis function of CATIA software, it has carried on the dynamic simulation of slender shaft, get the remanufacturing dynamic characteristic parameters of machine spindle system. Modal analysis was carried out on the remanufacturing machine tool spindle system, get the machine spindle system modal frequency and vibration mode in different order number. The paper contrast theoretical analysis and the modal analysis, validate the correctness of theoretical analysis.

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Numerical robust optimization of spindle speed for milling process with uncertainties

Cited by 44 publications

References 24 publications

Recent Advances of Intelligent Optimization Algorithm in Manufacturing

Recent Advances of Intelligent Optimization Algorithm in Manufacturing

Combining Dynamic Machining Feature With Function Blocks for Adaptive Machining

Analysis of the mechanical dynamic performance for the CNC machine spindle remanufacturing

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