基于目标圆样条几何的动力刨削刀具的设计与制造

IF 2.4 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Yun-Hao Cheng, Yi-Cheng Chen
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引用次数: 0

摘要

在本研究中,基于目标圆花键(CS)工件的几何形状,提出了一种新的动力刮削刀具及其砂轮轮廓的设计方案。首先,使用B样条曲线表示目标CS齿廓的广义数学模型。随后,基于动力刮削运动学推导出用于生成无误差CS的刮削刀具的标称切削刃。此外,基于纵向往复磨削运动学,求解了用于生成导出的标称切削刃的砂轮的轴向轮廓。通过算例说明了所提出的刮削刀具及其砂轮的设计过程。计算了由设计的标称切削刃产生的CS的轮廓精度,以验证所提出的设计过程。此外,还研究了通过对铣刀的阶梯前刀面进行回磨而产生的不同再磨深度所导致的切屑CS轮廓的误差。最后,为了有效地延长刀具寿命,在CS刮削过程中引入了补偿滚动角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Manufacture of Power Skiving Cutter from Target Circular Spline Geometry
In this study, a novel design scheme for a power skiving cutter and its grinding wheel profile is proposed based on the geometry of a target circular spline (CS) workpiece. First, a generalized mathematical model of a target CS tooth profile is expressed using a B-spline curve. Subsequently, the nominal cutting edge of the skiving cutter for generating an error-free CS is derived based on power-skiving kinematics. In addition, the axial profile of the grinding wheel for generating the derived nominal cutting edge is resolved based on lengthwise-reciprocating grinding kinematics. Numerical examples are presented to demonstrate the proposed design process for the skiving cutter and its grinding wheel. The profile accuracy of the CS yielded by the designed nominal cutting edge is computed to validate the proposed design processes. Moreover, errors of the skived CS profile resulting from various resharpening depths by grinding back the stepped rake face of the skiving cutter are investigated. Finally, to effectively extend the tool life of the skiving cutter, a compensation rolling angle is introduced into the CS skiving process.
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来源期刊
CiteScore
6.80
自引率
20.00%
发文量
126
审稿时长
12 months
期刊介绍: Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining
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