Digi-Shape - digital simulation & optimization software for gear shaping

Digi-Shape - 数字模拟

基本信息

  • 批准号:
    531945-2018
  • 负责人:
  • 金额:
    $ 9.11万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Idea to Innovation
  • 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

项目摘要

The objective of this project is to develop the next-generation of a proprietary software called Digi-Shape which has been developed at the University of Waterloo for virtual gear shaping. Gear shaping is a versatile and prominent machining method for manufacturing cylindrical gears. It is a highly complex and expensive process that requires highly trained engineers and technicians to run competently. Digi-Shape is capable of simulating the gear shaping operation and predicting the final quality of the machined part. It can be used to virtually optimize gear shaping processes to achieve higher productivity, and to minimize wasted resources in physical trial and error based process design that would otherwise be needed. In case studies performed at a local gear manufacturer, Digi-Shape was used to yield a significant 20-30% productivity improvement above current industry standards. This I2I project aims to develop and implement new features into Digi-Shape, in order to fortify its commercial value and its usability so that it can be easily and comfortably adopted by industry. Three features are outlined in this proposal that have been identified through collaborative discussions with industry. The first feature is collision detection of the cutting tool, which is an essential safety requirement to prevent damage to the cutter and machine. The second is automatic optimization of the process parameters, such that less-experienced personnel in industry can use the software to easily design gear shaping processes which yield maximum productivity and adequate quality. Finally, the third feature is refinement of the gear quality prediction algorithms to include factors which are currently not being simulated within Digi-Shape. Successful development of these features will greatly improve Digi-Shape's commercial value and increase industry's confidence in using this product.
该项目的目标是开发下一代专有软件Digi-Shape,该软件已在滑铁卢大学开发,用于虚拟齿轮成形。插齿加工是制造圆柱齿轮的一种通用而突出的加工方法。这是一个非常复杂和昂贵的过程,需要训练有素的工程师和技术人员才能胜任。Digi-Shape能够模拟插齿操作并预测加工零件的最终质量。它可用于虚拟优化齿轮成形工艺,以实现更高的生产率,并最大限度地减少在物理试验和错误的过程设计中浪费的资源,否则将需要。在当地齿轮制造商进行的案例研究中,Digi-Shape的使用使生产率比当前行业标准提高了20-30%。这个I2 I项目旨在开发和实现Digi-Shape的新功能,以加强其商业价值和可用性,使其能够轻松舒适地被行业采用。本提案概述了通过与工业界的合作讨论确定的三个特点。第一个功能是刀具的碰撞检测,这是防止刀具和机器损坏的基本安全要求。第二个是自动优化工艺参数,这样经验不足的工业人员可以使用该软件轻松设计齿轮成形工艺,从而产生最大的生产率和足够的质量。最后,第三个特点是齿轮质量预测算法的细化,以包括Digi-Shape中目前没有模拟的因素。这些功能的成功开发将大大提高Digi-Shape的商业价值,并增加业界使用该产品的信心。

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
Design of a NURBS interpolator with minimal feed fluctuation and continuous feed modulation capability
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
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:
    $ 9.11万
  • 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:
    $ 9.11万
  • 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:
    $ 9.11万
  • 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:
    $ 9.11万
  • 项目类别:
    Discovery Grants Program - Individual
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
  • 批准号:
    532174-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 9.11万
  • 项目类别:
    Engage Grants Program
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:
    $ 9.11万
  • 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:
    $ 9.11万
  • 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:
    $ 9.11万
  • 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:
    $ 9.11万
  • 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:
    $ 9.11万
  • 项目类别:
    Collaborative Research and Development Grants

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