Quality Influencing Factors Root Cause Analysis and Improvement Strategies for CNC Machining of Fluid Valve Components
流体阀门零部件数控加工质量影响因素根本原因分析及改进策略
基本信息
- 批准号:532174-2018
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Checkfluid is an Ontario-based manufacturer of oil-sampling valves, which allow for consistent oil samples to be**taken from machinery that can be used for efficient maintenance scheduling. Recently, the company has observed**quality defects in certain products produced mainly by turning. In this project, U. Waterloo and Checkfluid will**collaborate to investigate the production line using advanced diagnostic tools, such that a solid picture of the**production process in terms of quality and efficiency bottlenecks can be drawn. The data to be collected includes,**tool imaging for tool life cycle analysis, measurement of CNC positioning errors using servo signals for the**determination of servo repeatability, laser interferometric measurements of the motion axes according to ISO**standards for the calculation of drive-axis volumetric errors, investigation of thermally generated errors, spindle**power monitoring for the correlation of power consumption with tool condition and quality outcomes, modal**testing for the characterization of the machine-tool vibration signature and the estimation of the static stiffness.**The data thus collected will be analyzed comparatively to come up with process improvement solutions, which will**be tested on the production floor with the help of Checkfluid staff. The findings from the measurements will be**also shared with other research teams working in parallel on process monitoring research. Apart from immediate**solutions related to their production line, Checkfluid will also utilize the knowledge gained from this project to**evaluate various options regarding future investment in process monitoring and automation technologies in the**Industry 4.0 framework.
Checkfluid 是一家位于安大略省的油样阀制造商,它可以从机器中采集一致的油样,从而用于高效的维护计划。近期,该公司发现某些主要通过车削生产的产品存在**质量缺陷。在这个项目中,U. Waterloo 和 Checkfluid 将合作使用先进的诊断工具来调查生产线,从而可以准确地了解**生产过程中的质量和效率瓶颈。要收集的数据包括**用于刀具生命周期分析的刀具成像、使用伺服信号测量 CNC 定位误差用于**确定伺服重复性、根据 ISO** 标准对运动轴进行激光干涉测量以进行计算驱动轴体积误差的研究、热产生误差的研究、主轴**功率监控以了解功耗与刀具状况和质量结果的相关性、模态**测试以表征机床振动特征以及估计静态刚度。**将分析由此收集的数据相对地提出流程改进解决方案,并将在 Checkfluid 员工的帮助下在生产车间进行测试。测量结果**还将与并行进行过程监控研究的其他研究团队共享。除了与其生产线相关的直接**解决方案外,Checkfluid 还将利用从该项目中获得的知识**评估有关**工业 4.0 框架中过程监控和自动化技术的未来投资的各种选项。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Erkorkmaz, Kaan其他文献
Rapid identification technique for virtual CNC drives
- DOI:
10.1016/j.ijmachtools.2006.08.025 - 发表时间:
2007-07-01 - 期刊:
- 影响因子:14
- 作者:
Erkorkmaz, Kaan;Wong, Wilson - 通讯作者:
Wong, Wilson
Design of a NURBS interpolator with minimal feed fluctuation and continuous feed modulation capability
- DOI:
10.1016/j.ijmachtools.2009.11.005 - 发表时间:
2010-03-01 - 期刊:
- 影响因子:14
- 作者:
Heng, Michele;Erkorkmaz, Kaan - 通讯作者:
Erkorkmaz, Kaan
In-process digital twin estimation for high-performance machine tools with coupled multibody dynamics
- DOI:
10.1016/j.cirp.2020.04.047 - 发表时间:
2020-01-01 - 期刊:
- 影响因子:4.1
- 作者:
Wang, Chia-Pei;Erkorkmaz, Kaan;Engin, Serafettin - 通讯作者:
Engin, Serafettin
Virtual CNC system. Part II. High speed contouring application
- DOI:
10.1016/j.ijmachtools.2005.08.001 - 发表时间:
2006-08-01 - 期刊:
- 影响因子:14
- 作者:
Erkorkmaz, Kaan;Yeung, Chi-Ho;Altintas, Yusuf - 通讯作者:
Altintas, Yusuf
Design and Optimization of a Voice Coil Actuator for Precision Motion Applications
- DOI:
10.1109/tmag.2014.2381160 - 发表时间:
2015-06-01 - 期刊:
- 影响因子:2.1
- 作者:
Okyay, Ahmet;Khamesee, Mir Behrad;Erkorkmaz, Kaan - 通讯作者:
Erkorkmaz, Kaan
Erkorkmaz, Kaan的其他文献
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{{ truncateString('Erkorkmaz, Kaan', 18)}}的其他基金
Bringing Industry 4.0 manufacturing to life: Digital shadows, optimized trajectories, structural controls, and advanced mechatronics
将工业 4.0 制造带入生活:数字阴影、优化轨迹、结构控制和先进机电一体化
- 批准号:
RGPIN-2019-05334 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Bringing Industry 4.0 manufacturing to life: Digital shadows, optimized trajectories, structural controls, and advanced mechatronics
将工业 4.0 制造带入生活:数字阴影、优化轨迹、结构控制和先进机电一体化
- 批准号:
RGPIN-2019-05334 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Bringing Industry 4.0 manufacturing to life: Digital shadows, optimized trajectories, structural controls, and advanced mechatronics
将工业 4.0 制造带入生活:数字阴影、优化轨迹、结构控制和先进机电一体化
- 批准号:
RGPIN-2019-05334 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Bringing Industry 4.0 manufacturing to life: Digital shadows, optimized trajectories, structural controls, and advanced mechatronics
将工业 4.0 制造带入生活:数字阴影、优化轨迹、结构控制和先进机电一体化
- 批准号:
RGPIN-2019-05334 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Digi-Shape - digital simulation & optimization software for gear shaping
Digi-Shape - 数字模拟
- 批准号:
531945-2018 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Idea to Innovation
Structural Motion Control and Optimal Trajectory Planning for High-Productivity Manufacturing
高生产率制造的结构运动控制和最佳轨迹规划
- 批准号:
RGPIN-2014-03879 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Dynamic modeling and optimal trajectory planning for multi-axis contour machining for aerospace parts
航空航天零件多轴轮廓加工动态建模与最优轨迹规划
- 批准号:
462114-2013 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Structural Motion Control and Optimal Trajectory Planning for High-Productivity Manufacturing
高生产率制造的结构运动控制和最佳轨迹规划
- 批准号:
RGPIN-2014-03879 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Process Analysis and Optimization for 5-Axis Machining of Automotive Engine Parts
汽车发动机零件五轴加工工艺分析与优化
- 批准号:
507178-2016 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
Dynamic modeling and optimal trajectory planning for multi-axis contour machining for aerospace parts
航空航天零件多轴轮廓加工动态建模与最优轨迹规划
- 批准号:
462114-2013 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
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