Research on Coupling Parameter Evaluation Algorithm for Crankshaft Rod Journal

doi:10.3901/JME.2025.11.119

Abstract

Abstract: The form and position error and key dimensions accuracy of the crankshaft rod journal are important indexes to ensure the machining quality and qualification evaluation of the crankshaft. Aiming at the problem that the rod journal makes an eccentric circular motion around the main journal and the detection data of the rod journal cannot be directly used for its parameter evaluation during the measurement, the motion model of the rod journal is established, and the conversion method of radial measurement data to the profile data under the motion coordinate system of the rod journal and the coupling relationship between the evaluation parameters are analyzed. With the goal of improving the evaluation accuracy of rod journal parameters, the roundness and center distance error evaluation model that meets the minimum conditions is constructed, the Pareto optimal solution set is solved by multi-objective particle swarm algorithm, and the best compromise solution is screened based on the strategy of evaluating weights, and the evaluation of key parameters of rod journals is realized. Taking a certain type of engine crankshaft as an example, a large sample error detection test is carried out and the roundness, radius and stroke of the rod journal are calculated by the least squares method and multi-objective particle swarm algorithm, and compared with the measurement results of ADCOLE1200 measuring machine. The facts show that the proposed algorithm has high accuracy and good repeatability, so it is suitable for the evaluation of the rod journal coupling parameters under the follow-up measurement method.

Key words: crankshaft, rod Journal, roundness error, center distance, multi-objective

CLC Number:

TG156

WANG Yaxiao, WANG Hongxi, TIAN Huihui. Research on Coupling Parameter Evaluation Algorithm for Crankshaft Rod Journal[J]. Journal of Mechanical Engineering, 2025, 61(11): 119-130.

References

[1] KRZYSZTOF N，ZENON G，PAWEL D，et al. Determining geometrical deviations of crankshafts with limited detection possibilities due to support conditions [J]. Measurement，2022，189：110430.
[2] NOZDRZYKOWSKI K，CHYBOWSKI L， DorobczyŃSKI L. Model-based estimation of the reaction forces in an elastic system supporting large-size crankshafts during measurements of their geometric quantities[J]. Measurement，2020，155：107543.
[3] 刘长义，刘明周，刘从虎，等. 基于不确定性测度的再制造曲轴平衡性控制方法[J]. 机械工程学报，2015，51(5)：171-177. LIU Changyi，LIU Mingzhou，LIU Conghu，et al. Based on the uncertainty measure of remanufactured crankshaft's balance control[J]. Journal of Mechanical Engineering，2015，51( 5)：171-177.
[4] YU H X，XU M C，ZHAO J. In-situ roundness measurement and correction for pin journals in oscillating grinding machines[J]. Mechanical Systems and Signal Processing，2015，50(no)：548-562.
[5] 王玉萍. 曲轴连杆轴颈中心距测量方法改进[J]. 柴油机设计与制造，2007，2(15)：32-34. WANG Yuping. Improved measurement method for rod journal and center distance of crankshaft[J]. Design & Manufacture of Diesel Engine，2007，2(15)：32-34.
[6] 田应仲，李明，李伟，等. 曲轴连杆颈圆度误差跟踪测量策略[J]. 仪器仪表学报，2007，28(4)：118-122. TIAN Yingzhong，LI Ming，LI Wei，et al. Crankshaft roundness tracing measurement strategy in noncircular grinding process[J]. Chinese Journal of Scientific Instrument，2007，28(4)：118-122.
[7] 俞红祥. 曲轴连杆颈圆度在线检测与补偿研究[J]. 仪器仪表学报，2012，33(10)：2249-2254. YU Hongxiang. Research on online roundness measurement and compensation for crankshaft pin journal[J]. Chinese Journal of Scientific Instrument， 2012，33(10)：2249-2254.
[8] 钱晓明，崔巍，楼佩煌. 高精度曲轴轴颈同步测量及误差分析研究[J]. 仪器仪表学报，2020，41(3)：113-121. QIAN Xiaoming，CUI Wei，LOU Peihuang. Research on synchronous measurement and error analysis of crankshaft journal's high-precision measurement[J]. Chinese Journal of Scientific Instrument，2020，41(3)： 113-121.
[9] 郭海. 车辆发动机曲轴自动检测系统设计与研究[D].西安：西安理工大学，2017. GUO Hai. Design and research of automatic detection system for crankshaft of vehicle engine[D]. Xi’an：Xi’an University of Technology，2017.
[10] 顾亭亭，楼佩煌，钱晓明.基于非等间隔采样的曲轴连杆颈测量技术研究[J]. 中国机械工程，2021，32(24)： 3016-3023. GU Tingting，LOU Peihuang，QIAN Xiaoming. Research on measurement technology of crankshaft connecting rod journals based on non-equal interval sampling[J]. China Mechanical Engineering，2021，32(24)：3016-3023.
[11] YAZID S，YUSRI Y，KAMRAN L，et al. Roundness holes’ measurement for milled workpiece using machine vision inspection system based on IoT structure：A case study[J]. Measurement，2022，195：111072.
[12] ZHENG P，LIU D L，WANG M，et al. In-process measuring method for the size and roundness of workpiece with discontinuous surface in cylindrical grinding process[J]. Measurement，2020，166：108240.
[13] DEEP S，ARUNACHALAM N，SRINIVASU D S. A novel iterative-based field search technique for roundness evaluation[J]. Procedia Manufacturing，2021，53(no)： 268-275.
[14] 赵艺兵，温秀兰，许有熊. 基于坐标测量机和拟粒子群进化算法的圆柱度误差检测与评定[J]. 中国机械工程， 2015，26(18)：2432-2435. ZHAO Yibing，WEN Xiulan，XU Youxiong. Cylindricity error inspection and evaluation based on CMM and QOA[J]. China Mechanical Engineering，2015，26(18)：2432-2435.
[15] 崔长彩，黄富贵，张认成，等.粒子群优化算法及其在圆度误差评定中的应用[J].计量学报，2006，27(4)：317-320. CUI Changcai，HUANG Fugui，ZHANG Rencheng，et al. Roundness error evaluation based on the particle swarm optimization[J]. Acta Metrologica Sinica，2006，27(4)：317-320.
[16] 杨超，李以农，郑玲，等.基于多目标粒子群算法的电磁主动悬架作动器优化[J]. 机械工程学报，2019，55(19)：154-163. YANG Chao，LI Yinong，ZHENG Ling，et al. Optimum of electromagnetic active suspension actuator using multi-objective particle swarm optimization algorithm[J]. Journal of Mechanical Engineering，2019，55(19)：154-163.
[17] 刘青，查虹丽，马龙雄，等. 采用多目标离散粒子群算法的地磁感应电流抑制措施的优化和效果评价[J]. 西安交通大学学报，2021，55(3)：90-98. LIU Qing，ZHA Hongli，MA Longxiong，et al. Optimization of geomagnetically induced current suppression based on multi-objective discrete particle swarm optimization algorithm and effect evaluation[J]. Journal of Xi’an Jiaotong University，2021，55(3)：90-98．
[18] 郭森，秦贵和，张晋东，等. 多目标车辆路径问题的粒子群优化算法研究[J]. 西安交通大学学报，2016， 50(9)：97-104. GUO Sen，QIN Guihe，ZHANG Jindong，et al. A novel particle swarm optimization for multi-objective vehicle routing problem[J]. Journal of Xi’an Jiaotong University，2016，50(9)：97-104.
[19] Mostaghim S，Teich J. Strategies for ending good local guides in multi-objective particle swarm optimization (MOPSO) [C]//Swarm Intelligence Symposium Proceedings，Indianapolis，Indiana，USA. USA：IEEE Service Center，2003：26-33.
[20] 张进峰，杨涛宁，马伟皓. 基于多目标粒子群算法的船舶航速优化[J]. 系统仿真学报，2019，31(4)：787-794. ZHANG Jinfeng，YANG Taoning，MA Weihao. Ship speed optimization based on multi-objective particle swarm algorithm[J]. Journal of System Simulation，2019，31(4)：787-794.
[21] 高义军. 高斯滤波与移动平均滤波器的ADCOLE测量仪上的比较[C]//第13届全国汽车检测技术年会，上海. 2009：73-76. GAO Yijun. Comparison of gaussian filter and moving average filter on adcole measuring instrument[C] //The 13thNational Automobile Detection Technology Annual Meeting，Shanghai. 2009：73-76.