Current understanding of surface effects in microcutting

Lee, Yan Jin; Wang, Hao

doi:10.1016/j.matdes.2020.108688

Cited by 50 publications

(28 citation statements)

References 208 publications

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“…Nevertheless, shape deviations of the 3rd to 4th degree, on the other hand, cannot be determined with comparable accuracy. The reasons for this [76] are seen in a rather unsuitable signal-to-noise ratio of the machine Nevertheless, the model-based representation of the as-milled surface is not only an additional benefit in order to, e.g., achieve a first-time-right result for a lot of size one machining tasks by, e.g., gradually approaching the target geometry-in opposite, it is the basis for cost-effective quality control and documentation [65]. Either way, Benardos et al [59] categorize four types of model-based approaches to illuminate interactions from different perspectives.…”

Section: Surface Qualitymentioning

confidence: 99%

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Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach

Hänel

Seidel

Frieß

et al. 2021

JMMP

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This paper presents a brief introduction to competition-driven digital transformation in the machining sector. On this basis, the creation of a digital twin for machining processes is approached firstly using a basic digital twin structure. The latter is sub-grouped into information and data models, specific calculation and process models, all seen from an application-oriented perspective. Moreover, digital shadow and digital twin are embedded in this framework, being discussed in the context of a state-of-the-art literature review. The main part of this paper addresses models for machine and path inaccuracies, material removal and tool engagement, cutting force, process stability, thermal behavior, workpiece and surface properties. Furthermore, these models are superimposed towards an integral digital twin. In addition, the overall context is expanded towards an integral software architecture of a digital twin providing information system. The information system, in turn, ties in with existing forward-oriented planning from operational practice, leading to a significant expansion of the initially presented basic structure for a digital twin. Consequently, a time-stratified data layer platform is introduced to prepare for the resulting shadow-twin transformation loop. Finally, subtasks are defined to assure functional interfaces, model integrability and feedback measures.

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Section: Surface Qualitymentioning

confidence: 99%

Section: Surface Qualitymentioning

confidence: 99%

Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach

Hänel

Seidel

Frieß

et al. 2021

JMMP

View full text Add to dashboard Cite

show abstract

“…It results in negative rake angles, increasing the compressive stresses on the work material that reduces the chip brittle fracture, by enhancing the material plasticity. An increment of the negative rake angle favorites the contact between the back cutting surface and the work-piece surface, altering the shearing cutting mode into extrusion cutting, ploughing, or roughing in which the workpiece material undergoes to scraping, squeezing, and grooving instead of been correctly cut [13][14][15]. Additionally, indentation effects can take place, consistently rising the surface hardness and cracks propagation [16,17].…”

Section: Introductionmentioning

confidence: 99%

Experimental Optimization of Process Parameters in CuNi18Zn20 Micromachining

et al. 2021

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Ultraprecision micromachining is a technology suitable to fabricate miniaturized and complicated 3-dimensional microstructures and micromechanisms. High geometrical precision and elevated surface finishing are both key requirements in several manufacturing sectors. Electronics, biomedicals, optics and watchmaking industries are some of the fields where micromachining finds applications. In the last years, the integration between product functions, the miniaturization of the features and the increasing of geometrical complexity are trends which are shared by all the cited industrial sectors. These tendencies implicate higher requirements and stricter geometrical and dimensional tolerances in machining. From this perspective, the optimization of the micromachining process parameters assumes a crucial role in order to increase the efficiency and effectiveness of the process. An interesting example is offered by the high-end horology field. The optimization of micro machining is indispensable to achieve excellent surface finishing combined with high precision. The cost-saving objective can be pursued by limiting manual post-finishing and by complying the very strict quality standards directly in micromachining. A micro-machining optimization technique is presented in this a paper. The procedure was applied to manufacturing of main-plates and bridges of a wristwatch movement. Cutting speed, feed rate and depth of cut were varied in an experimental factorial plan in order to investigate their correlation with some fundamental properties of the machined features. The dimensions, the geometry and the surface finishing of holes, pins and pockets were evaluated as results of the micromachining optimization. The identified correlations allow to manufacture a wristwatch movement in conformity with the required technical characteristics and by considering the cost and time constraints.

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“…Advancements in artificial intelligence, advanced manufacturing, automation control, and optics and microelectronics technologies, have evolved the way in which industrial products are designed, with emphasis now being placed on miniaturization and structural complexity [1][2][3][4][5]. Product miniaturization reduces overall weight and material and energy consumption, and improves space utilization, but places greater requirements on parts micromachining technology [6,7]. In the field of modern manufacturing technologies, micromachining refers to the application of precision or ultra-precision cutting tools to remove metal, composite, alloy, ceramics, and other engineering materials, to obtain microscale parts or structures using mechanical force.…”

Section: Introductionmentioning

confidence: 99%

Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining

et al. 2021

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Micromachining techniques have been applied widely to many industrial sectors, including aerospace, automotive, and precision instruments. However, due to their high-precision machining requirements, and the knowledge-intensive characteristics of miniaturized parts, complex manufacturing process problems often hinder production. To solve these problems, a systematic scheme for structured micromachining process problem solving and an innovation support system is required. This paper presents a knowledge-based holistic framework that enables process planners to achieve micromachining innovation design. By analyzing innovation design procedures and available knowledge sources, an open multi-source Machining Process Innovation Knowledge (MPIK) acquisition paradigm is presented, including knowledge units and a knowledge network. Further, a MPIK network-driven structured process problem-solving and heuristic innovation design method was explored. Subsequently, a knowledge-driven heuristic design system for machining process innovation was integrated in the Computer-Aided Process Innovation (CAPI) platform. Finally, a case study involving specific process problem-solving and innovation scheme design for micro-turbine machining was studied to validate the proposed approach.

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Current understanding of surface effects in microcutting

Cited by 50 publications

References 208 publications

Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach

Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach

Experimental Optimization of Process Parameters in CuNi18Zn20 Micromachining

Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining

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