Jianfei Sun
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jianfei Sun has a total of 51 co-authors. Here are the top co-authors by number of shared publications:
Wuyi Chen
8 shared publicationsLiuwei Guo
School of Mechanical Engineering and Automation, Beihang University, Beijing, China
4 shared publicationsLiangbao Liu
3 shared publicationsAnpeng Su
School of Mechanical Engineering and Automation, Beihang University, Beijing, China
2 shared publicationsPeng Zhang
2 shared publicationsShuyang Lu
School of Mechanical Engineering and Automation, Beihang University, Beijing, China
2 shared publications
Latest Publications
- 16 February 2026
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 143 (3-4) , 1475-1497
Predictive modeling and evolution analysis of residual stress profiles in TC17 titanium alloy under cutting and pre-mixed abrasive waterjet peening
- 16 February 2026
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 143 (3-4) , 1475-1497
Predictive modeling and evolution analysis of residual stress profiles in TC17 titanium alloy under cutting and pre-mixed abrasive waterjet peening
- 25 November 2025
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 141 (12) , 6035-6054
The effect of tool posture on surface integrity during ball-end milling
- 25 November 2025
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 141 (12) , 6035-6054
The effect of tool posture on surface integrity during ball-end milling
- 18 October 2025
- Published by Springer Nature in Archives of Civil and Mechanical Engineering
- Vol. 25 (7-8) , 1-29
Effect of micro removal amounts in laser shock peening with post-low stress milling on surface integrity and fatigue life of GH4169 superalloy
- 18 October 2025
- Published by Springer Nature in Archives of Civil and Mechanical Engineering
- Vol. 25 (7-8) , 1-29
Effect of micro removal amounts in laser shock peening with post-low stress milling on surface integrity and fatigue life of GH4169 superalloy
- Open Access
- 16 September 2025
- Published by Elsevier in Biomaterials
- Vol. 326, 123701
A digitally programmable 3D microenvironment directs satellite cell function
- 16 September 2025
- Published by Elsevier in Biomaterials
- Vol. 326, 123701
Open AccessA digitally programmable 3D microenvironment directs satellite cell function
- 3 May 2022
- Published by Taylor & Francis in International Journal of Production Research
- Vol. 61 (9) , 3088-3102
Network-based integer programming models for flexible process planning
Flexible process planning (FPP) involves selecting and sequencing the requisite operations according to technological requirements, and meanwhile allocating a right machine, a right tool and a right access direction to each selected operation by a given criterion. In this article, the FPP problem is exactly and concisely formulated as linear integer programming models based on the topology of the AND/OR-network under two criteria: production cost minimisation and completion time minimisation. Distinctively, more flexible manufacturing elements and process plan evaluation criteria are considered; more complicated tool and access direction changeover identifications are linearly expressed without the big-M parameter. Compared with the latest mathematical programming models for process planning, the proposed models have lower complexity and better performance. The results from numerous comparative experiments indicate that (i) the number of decision variables of the proposed models reduces approximately by 68% and the number of constraints of the proposed models dramatically reduces by 99%; (ii) within the same running time, the proposed models can exactly solve more benchmark cases than the latest models; and (iii) the solutions obtained by the proposed models are also better than the best ones founded by some state-of-the-art meta-heuristic algorithms.
- 3 May 2022
- Published by Taylor & Francis in International Journal of Production Research
- Vol. 61 (9) , 3088-3102
Network-based integer programming models for flexible process planning
Flexible process planning (FPP) involves selecting and sequencing the requisite operations according to technological requirements, and meanwhile allocating a right machine, a right tool and a right access direction to each selected operation by a given criterion. In this article, the FPP problem is exactly and concisely formulated as linear integer programming models based on the topology of the AND/OR-network under two criteria: production cost minimisation and completion time minimisation. Distinctively, more flexible manufacturing elements and process plan evaluation criteria are considered; more complicated tool and access direction changeover identifications are linearly expressed without the big-M parameter. Compared with the latest mathematical programming models for process planning, the proposed models have lower complexity and better performance. The results from numerous comparative experiments indicate that (i) the number of decision variables of the proposed models reduces approximately by 68% and the number of constraints of the proposed models dramatically reduces by 99%; (ii) within the same running time, the proposed models can exactly solve more benchmark cases than the latest models; and (iii) the solutions obtained by the proposed models are also better than the best ones founded by some state-of-the-art meta-heuristic algorithms.
- Open Access
Characterization of Residual Stresses and Grain Structure in Hot Forging of GH4169
Residual stresses (RS) in hot forging severely degrade the machining accuracy and stability of super alloy parts. This is the main reason for deformation during subsequent mechanical machining. RS need recognition, as well as the microstructure and properties achieved by forging. In this study, a simulation and experimental research on the single-pass compression of GH4169 are presented. RS variations with forging temperature, loading speed, and cooling speed are established by finite element (FE) simulation. Based on the FE results, an experiment is conducted at a temperature of 1020, loading speed of 25 mm/s, and press amount of 16 mm, immediately followed by water cooling. A new layer-stripping method is put forward for the high-efficiency measurement and correction of interior RS. Compared with the traditional strain gauge layer-stripping method, the measurement efficiency of the new layer-stripping method is increased by 10 times. Meanwhile, grain photographs are collected and grain size evolution is summarized; thus, the RS is characterized and evaluated from the angle of grains. It is demonstrated that the RS level rises with the increase in forging temperature, loading speed, and cooling speed, while the cooling method influences both the stress value and distribution. Compressive RS changes to tensile, while the average grain size reduces from the surfaces to the center. In the compressive regions, stress values share the same rules as grain size, while, in the tensile regions, they are contrary. The RS levels are divided according to the grain degree standard. According to the residual stress and grain distribution law of the blank, the optimal position of the part in the blank can be determined. Compared with the center position of the part in the blank, the residual stress of the part is reduced by 70%. The results provide useful strategies for the better design of forging technology, qualification examinations, and subsequent mechanical machining.Open AccessCharacterization of Residual Stresses and Grain Structure in Hot Forging of GH4169
Residual stresses (RS) in hot forging severely degrade the machining accuracy and stability of super alloy parts. This is the main reason for deformation during subsequent mechanical machining. RS need recognition, as well as the microstructure and properties achieved by forging. In this study, a simulation and experimental research on the single-pass compression of GH4169 are presented. RS variations with forging temperature, loading speed, and cooling speed are established by finite element (FE) simulation. Based on the FE results, an experiment is conducted at a temperature of 1020, loading speed of 25 mm/s, and press amount of 16 mm, immediately followed by water cooling. A new layer-stripping method is put forward for the high-efficiency measurement and correction of interior RS. Compared with the traditional strain gauge layer-stripping method, the measurement efficiency of the new layer-stripping method is increased by 10 times. Meanwhile, grain photographs are collected and grain size evolution is summarized; thus, the RS is characterized and evaluated from the angle of grains. It is demonstrated that the RS level rises with the increase in forging temperature, loading speed, and cooling speed, while the cooling method influences both the stress value and distribution. Compressive RS changes to tensile, while the average grain size reduces from the surfaces to the center. In the compressive regions, stress values share the same rules as grain size, while, in the tensile regions, they are contrary. The RS levels are divided according to the grain degree standard. According to the residual stress and grain distribution law of the blank, the optimal position of the part in the blank can be determined. Compared with the center position of the part in the blank, the residual stress of the part is reduced by 70%. The results provide useful strategies for the better design of forging technology, qualification examinations, and subsequent mechanical machining. - 1 December 2019
- Published by Elsevier in Journal of Materials Processing Technology
- Vol. 274
An analytical model to predict the machining deformation of frame parts caused by residual stress
- 1 December 2019
- Published by Elsevier in Journal of Materials Processing Technology
- Vol. 274
An analytical model to predict the machining deformation of frame parts caused by residual stress
- 1 February 2019
- Published by Elsevier in International Journal of Fatigue
- Vol. 119, 261-267
Effect of laser shock processing with post-machining and deep cryogenic treatment on fatigue life of GH4169 super alloy
- 1 February 2019
- Published by Elsevier in International Journal of Fatigue
- Vol. 119, 261-267
Effect of laser shock processing with post-machining and deep cryogenic treatment on fatigue life of GH4169 super alloy