A network-based manufacturing model for spiral bevel gears

Deng, Jian; Li, Jubo; Deng, Xiaozhong

doi:10.1007/s10845-015-1111-z

Cited by 6 publications

(4 citation statements)

References 30 publications

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“…With development of CNC gear technology, the manufacturing process control has been developed by applying the modern information and automation acknowledge. 30,31 Deng et al 32 and Yang et al 33 established a network-based manufacturing model. With technique development in current gear field, the conventional ''trial-and-error'' method is a costly and time consuming process requiring skilled and experienced operators.…”

Section: Introductionmentioning

confidence: 99%

Data-driven process control for manufacturing spiral bevel and hypoid gears by using design for six sigma (DFSS) considering numerical loaded tooth contact analysis (NLTCA)

Rong

Ding

Song

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Data-driven process control considering both geometric and loaded contact performance evaluations has been an increasingly important stage in field of spiral bevel and hypoid gears. A new data-driven manufacturing process control strategy is proposed for a high performance spiral bevel and hypoid gears. Here, to distinguish with the conventional simulated loaded tooth contact analysis (SLTCA) using economical finite element software package, the numerical loaded tooth contact analysis (NLTCA) is of more flexibility and practicality. In light of the advantages of the improved design for six sigma (DFSS), it is integrated with NLTCA for establishing a novel data-driven process control of gear manufacturing. Firstly, in improved DFSS framework, quality function deployment (QFD) is used to determine four sub-objective high-performance evaluation items. Then, their data-driven relationships between machine settings are respectively determined by using NLTCA. In particular, the manufacturing process control is further converted into multi-objective optimization (MOO) modification of the hypoid generator settings. Finally, an interactive preference point approach is applied for data-driven control of its iterative step and it can obtain a robust solution from Pareto optimal front. A case study is provided to verify the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Data-driven process control for manufacturing spiral bevel and hypoid gears by using design for six sigma (DFSS) considering numerical loaded tooth contact analysis (NLTCA)

Rong

Ding

Song

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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show abstract

“…Although scholars have had a wealth of research in the past, but there are shortcomings in the aspect of teaching. This paper will design and develop a virtual experiment teaching platform about computer network from the point of view of teaching, students and system management, so as to help students improve their manual experiment ability and assist teachers to complete the teaching tasks [5][6].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Virtual Experiment Teaching Platform Based on Computer Network

2021

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As the basic course of teaching information major in universities, computer network shows the characteristics of rich content, abstract theory and difficult understanding, which requires us to not only pay attention to theoretical teaching, but also experimental teaching also needs to be paid attention to in the study of this subject. This paper presents the design, implementation and test scheme for the current situation of computer network virtual experiment teaching. The system is based on B/S structure, and the design scheme adopts modular programming idea and development mode technology to divide students into different parts so that they can better learn and master each module function; then debug and modify each subclass and their problems involved to achieve the final goal requirements.

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“…Based on the face-milling cutting method and non-circular gear meshing theory, Zheng et al 26 investigated the generation of curvilinear non-circular cylindrical gears and the corresponding manufacture process. Deng et al 27 proposed a manufacturing model for spiral bevel gears by combining the manufacture technology with network, information, and management. Tan et al 28 tried to manufacture tooth surfaces of spiral bevel gears by disc milling process and pure-rolling contact.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of the manufacture of face-milled hypoid gears on numerical controlled machine tool

Simon

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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A new method is presented for advanced manufacture of hypoid gears on numerical controlled machine tool. The tool geometry and machine tool settings are determined to introduce the optimal tooth modifications into the teeth of hypoid gears. The goal is to reduce the maximum tooth contact stresses, angular displacement error of the driven gear, and energy losses in the oil film existing between tooth surfaces. The calculation is based on the optimal variation of machine tool settings on the classical machine tool for hypoid gear manufacture. The novelty of the method is that during the machining process of teeth surfaces, the variation of machine tool settings on the cradle-type hypoid generator is conducted by polynomial functions of fifth-order. By an algorithm, this variation of machine tool settings is transferred to the numerical controlled machine tool for hypoid gear manufacture (hypoid generator). The obtained results have shown that by applying the optimal manufacture process, considerable reductions in tooth contact stresses and angular displacement errors of the driven gear, and a moderate reduction in energy losses were obtained. Therefore, by applying this new method in practice, advanced manufacture of hypoid gears on CNC hypoid generator is made possible, resulting improved operating characteristics of the hypoid gear pair.

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A network-based manufacturing model for spiral bevel gears

Cited by 6 publications

References 30 publications

Data-driven process control for manufacturing spiral bevel and hypoid gears by using design for six sigma (DFSS) considering numerical loaded tooth contact analysis (NLTCA)

Data-driven process control for manufacturing spiral bevel and hypoid gears by using design for six sigma (DFSS) considering numerical loaded tooth contact analysis (NLTCA)

Design and Implementation of Virtual Experiment Teaching Platform Based on Computer Network

Multi-objective optimization of the manufacture of face-milled hypoid gears on numerical controlled machine tool

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