Junjin Ma

Dr. Junjin Ma


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 September 2022 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
JMJunjin Ma
Junjin Ma
YLYunfei Li
Yunfei Li
DZDinghua Zhang
Dinghua Zhang
BZBo Zhao
Bo Zhao
XPXiaoyan Pang
Xiaoyan Pang

29 December 2023 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
YZYouyi Zheng
Youyi Zheng
YTYuzhao Tian
Yuzhao Tian
JMJunjin Ma
Junjin Ma
FZFaping Zhang
Faping Zhang
XCXiaobin Cui
Xiaobin Cui
LRLei Ren
Lei Ren

21 January 2022 in Micromachines
Verified
Journal Article
Open access
PDF file
JMJunjin Ma
Junjin Ma
LYLi Yunfei
Li Yunfei
DZDinghua Zhang
Dinghua Zhang
BZBo Zhao
Bo Zhao
Geng WangGeng Wang
Geng Wang
XPXiaoyan Pang
Xiaoyan Pang
This paper presents an updated full-discretization method for milling stability prediction based on cubic spline interpolation. First, the mathematical model of the time-delay milling system considering regenerative chatter is represented by a dynamic delay differential equation. Then, in a single tooth passing period, the time is divided into a finite time intervals, the state item and the time-delay item are approximated in each time interval by cubic spline interpolation and third-order Newton interpolation, respectively. Afterward, a transition matrix is constructed to represent the transfer relationship of the teeth in a period. Finally, based on Floquet theory, the milling stability lobes can be obtained. Meanwhile, in order to improve computational efficiency, an optimized method is proposed based on the traditional algorithm and the proposed method has high precision without losing high efficiency. Finally, several milling experiments are conducted to verify the accuracy of the proposed method, and the results show that the predicted results agree well with the experimental results.

9 February 2023 in Journal of Materials Engineering and Performance
Verified
Journal Article
Closed access
PDF file
YZYouyi Zheng
Youyi Zheng
CWChu Wang
Chu Wang
JMJunjin Ma
Junjin Ma
HLHaoming Li
Haoming Li
YLYujie Li
Yujie Li
CLChenxu Luo
Chenxu Luo

19 September 2022 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
JMJunjin Ma
Junjin Ma
YLYunfei Li
Yunfei Li
DZDinghua Zhang
Dinghua Zhang
BZBo Zhao
Bo Zhao
XYXinhong Yan
Xinhong Yan
XPXiaoyan Pang
Xiaoyan Pang

Verified
Journal Article
Open access
PDF file
LMLijie Ma
Lijie Ma
SBShijie Ba
Shijie Ba
YZYu Zhang
Yu Zhang
HLHongwen Liu
Hongwen Liu
LLLeyang Li
Leyang Li
JMJunjin Ma
Junjin Ma
Machining deformation is a key bottleneck that restricts the improvement of manufacturing accuracy of aviation thin-walled structural components, such as frames, beams, and wall panels. The initial residual stress of the workblank and the cutting load are the direct factors leading to machining deformation. Based on the initial residual stress measurement and the milling force test, a finite element prediction model for milling deformation of frame-type thin-walled parts with integrated consideration of initial residual stress and the milling force was established and experimentally verified in this study. Then, the influence of milling process factors, such as the frame processing sequence (FPS), the cutting path, and the single frame one-time removal depth (SFORD), on the milling deformation of frame-type parts was studied. The results showed that the established prediction model had high reliability and the prediction accuracy was improved by 6.7% compared with that when only considering the initial residual stress. A smaller machining deformation can be achieved through the use of the FPS to prioritize the width, direction, and symmetrical milling, as well as the inner loop cutting path, and the smaller SFORD. This study can provide a technical reference for the prediction and control of milling deformation of aviation thin-walled structural parts, especially frame-type thin-walled parts.