Experimental Optimization of Process Parameters in CuNi18Zn20 Micromachining

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.

[1]  F. Jiang,et al.  Experimental research on the top burr formation in micro milling , 2021, The International Journal of Advanced Manufacturing Technology.

[2]  Zhongwei Chen,et al.  Investigation on the Exit Burr Formation in Micro Milling , 2021, Micromachines.

[3]  D. Cica,et al.  Investigation, modeling, and optimization of surface roughness in micro-milling of graphite electrodes , 2021, The International Journal of Advanced Manufacturing Technology.

[4]  D. Pimenov,et al.  Effect of Tool Coating and Cutting Parameters on Surface Roughness and Burr Formation during Micromilling of Inconel 718 , 2021 .

[5]  Fengzhou Fang,et al.  Precision micro-milling process: state of the art , 2020, Advances in Manufacturing.

[6]  David Serje,et al.  Micromilling research: current trends and future prospects , 2020, The International Journal of Advanced Manufacturing Technology.

[7]  Ning He,et al.  Suppressing the burr of high aspect ratio structure by optimizing the cutting parameters in the micro-milling process , 2020, The International Journal of Advanced Manufacturing Technology.

[8]  T. Özel,et al.  Analytical force modelling for micro milling additively fabricated Inconel 625 , 2020, Production Engineering.

[9]  Guoqing Zhang,et al.  Force Prediction and Cutting-Parameter Optimization in Micro-Milling Al7075-T6 Based on Response Surface Method , 2020, Micromachines.

[10]  Ji Zhao,et al.  Energy consumption considering tool wear and optimization of cutting parameters in micro milling process , 2020 .

[11]  Y. Lee,et al.  Current understanding of surface effects in microcutting , 2020 .

[12]  Guoqing Zhang,et al.  Research on Parameter Optimization of Micro-Milling Al7075 Based on Edge-Size-Effect , 2020, Micromachines.

[13]  Y. Kaynak,et al.  Machining-induced surface integrity of holes drilled in lead-free brass alloy , 2020 .

[14]  Andrea Abeni,et al.  Micro-milling of Selective Laser Melted Stainless Steel , 2020 .

[15]  Saeed Hajiahmadi Burr size investigation in micro milling of stainless steel 316L , 2019 .

[16]  Raoul Herzog,et al.  PRODUCTIVITY INCREASE OF HIGH PRECISION MICRO-MILLING BY TRAJECTORY OPTIMIZATION , 2019, MM Science Journal.

[17]  Steven Y. Liang,et al.  The effect of cutting parameters on micro-hardness and the prediction of Vickers hardness based on a response surface methodology for micro-milling Inconel 718 , 2019, Measurement.

[18]  Matteo Lancini,et al.  Characterization of machine tools and measurement system for micromilling , 2019, Nanotechnology and Precision Engineering.

[19]  J. Ståhl,et al.  Machinability Evaluation of Low-Lead Brass Alloys , 2019, Procedia Manufacturing.

[20]  A. Çiçek,et al.  Optimization of process parameters for micro milling of Ti-6Al-4V alloy using Taguchi-based gray relational analysis , 2018, Measurement.

[21]  Zhanqiang Liu,et al.  Determination of minimum uncut chip thickness during micro-end milling Inconel 718 with acoustic emission signals and FEM simulation , 2018 .

[22]  S. To,et al.  Effect of Machining Parameters and Tool Wear on Surface Uniformity in Micro-Milling , 2018, Micromachines.

[23]  M. Quarto,et al.  Characterization of surfaces obtained by micro-EDM milling on steel and ceramic components , 2018 .

[24]  Aldo Attanasio,et al.  Tool Run-Out Measurement in Micro Milling , 2017, Micromachines.

[25]  Chao Lin,et al.  Modeling the Influence of Tool Deflection on Cutting Force and Surface Generation in Micro-Milling , 2017, Micromachines.

[26]  Szymon Wojciechowski,et al.  The study on minimum uncut chip thickness and cutting forces during laser-assisted turning of WC/NiCr clad layers , 2017, The International Journal of Advanced Manufacturing Technology.

[27]  Jan C. Aurich,et al.  Surface quality in micro milling: Influences of spindle and cutting parameters , 2017 .

[28]  Svetan Ratchev,et al.  Manufacturing Technology: Micro-machining , 2017 .

[29]  Ning He,et al.  Influence of the cutting edge radius and the material grain size on the cutting force in micro cutting , 2016 .

[30]  Fritz Klocke,et al.  Machinability Enhancement of Lead-free Brass Alloys , 2014 .

[31]  Ruxu Du,et al.  Signature analysis of mechanical watch movements , 2007 .

[32]  M. A. Elbestawi,et al.  Grain size and orientation effects when microcutting AISI 1045 steel , 2007 .

[33]  M. Göken,et al.  Indentation size effect in metallic materials: Correcting for the size of the plastic zone , 2005 .

[34]  P. Isler Watches: Mechanical Materials , 2001 .

[35]  Huajian Gao,et al.  Indentation size effects in crystalline materials: A law for strain gradient plasticity , 1998 .