Heng Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Heng Zhang has a total of 86 co-authors. Here are the top co-authors by number of shared publications:
- Jinsheng Zhang
School of Mechanical Engineering, Shandong University, Jinan, China
7 shared publications Jinsheng Zhang
6 shared publicationsJinyou Kang
3 shared publications- Haoren Zhou
Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan, China
2 shared publications Kaida Wang
Shandong Univ, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture, Minist Educ, Jinan 250061, Peoples R China
2 shared publicationsQianqian Zhang
2 shared publications
Latest Publications
- Open Access
- 22 July 2026
- Published by Elsevier in Journal of Materials Research and Technology
- Vol. 43, 6252-6266
Comparative effects of alloy composition on tool wear behavior and surface damage during milling of nickel and manganese aluminum bronzes
- 22 July 2026
- Published by Elsevier in Journal of Materials Research and Technology
- Vol. 43, 6252-6266
Open AccessComparative effects of alloy composition on tool wear behavior and surface damage during milling of nickel and manganese aluminum bronzes
- 12 February 2026
- Published by Elsevier in Ceramics International
- Vol. 52 (11) , 16053-16065
Process optimization of foam ceramics from granite sawing dust-steel slag blends: Effects on pore morphology and mechanical performance
- 12 February 2026
- Published by Elsevier in Ceramics International
- Vol. 52 (11) , 16053-16065
Process optimization of foam ceramics from granite sawing dust-steel slag blends: Effects on pore morphology and mechanical performance
- 2 February 2026
- Published by Springer Nature in International Journal of Dynamics and Control
- Vol. 14 (2) , 76
High-precision synchronization of dual hydraulic cylinder systems via SARPID control with disturbance-rejection enhancement
- 2 February 2026
- Published by Springer Nature in International Journal of Dynamics and Control
- Vol. 14 (2) , 76
High-precision synchronization of dual hydraulic cylinder systems via SARPID control with disturbance-rejection enhancement
- 24 July 2025
- Published by Springer Nature in Annals of Telecommunications
- Vol. 81 (3-4) , 233-245
Lightweight certificateless authenticated key agreement protocol for IIoT
- 24 July 2025
- Published by Springer Nature in Annals of Telecommunications
- Vol. 81 (3-4) , 233-245
Lightweight certificateless authenticated key agreement protocol for IIoT
- Open Access
Integrated Intelligent Control for Trajectory Tracking of Nonlinear Hydraulic Servo Systems Under Model Uncertainty
To address the challenges of model uncertainty, strong nonlinearities, and controller tuning in high-precision trajectory tracking for hydraulic servo systems, this paper proposes a hierarchical GA-PID-MPC fusion strategy. The architecture integrates three functional layers: a Genetic Algorithm (GA) for online parameter optimization, a Model Predictive Controller (MPC) for future-oriented planning, and a Proportional–Integral–Derivative (PID) controller for fast feedback correction. These modules are dynamically coordinated through an adaptive cost-aware blending mechanism based on real-time performance evaluation. The MPC module operates on a linearized state–space model and performs receding-horizon control with weights and horizon length tuned by GA. In parallel, the PID controller is enhanced with online gain projection to mitigate nonlinear effects. The blending coefficient is adaptively updated to balance predictive accuracy and real-time responsiveness, forming a robust single-loop controller. Rigorous theoretical analysis establishes global input-to-state stability and performance under average dwell-time constraints.Open AccessIntegrated Intelligent Control for Trajectory Tracking of Nonlinear Hydraulic Servo Systems Under Model Uncertainty
To address the challenges of model uncertainty, strong nonlinearities, and controller tuning in high-precision trajectory tracking for hydraulic servo systems, this paper proposes a hierarchical GA-PID-MPC fusion strategy. The architecture integrates three functional layers: a Genetic Algorithm (GA) for online parameter optimization, a Model Predictive Controller (MPC) for future-oriented planning, and a Proportional–Integral–Derivative (PID) controller for fast feedback correction. These modules are dynamically coordinated through an adaptive cost-aware blending mechanism based on real-time performance evaluation. The MPC module operates on a linearized state–space model and performs receding-horizon control with weights and horizon length tuned by GA. In parallel, the PID controller is enhanced with online gain projection to mitigate nonlinear effects. The blending coefficient is adaptively updated to balance predictive accuracy and real-time responsiveness, forming a robust single-loop controller. Rigorous theoretical analysis establishes global input-to-state stability and performance under average dwell-time constraints. - 18 March 2025
- Published by Elsevier in International Journal of Mechanical Sciences
- Vol. 293
A laminated-core circular sawblade with built-in cavities for improving machinability
- 18 March 2025
- Published by Elsevier in International Journal of Mechanical Sciences
- Vol. 293
A laminated-core circular sawblade with built-in cavities for improving machinability
- Open Access
- 17 May 2024
- Published by SAGE Publications in Advances in Mechanical Engineering
- Vol. 16 (5)
Wear mechanisms of diamond segmenta in cutting of carbon fiber reinforced cement-based composite and optimizing in parameters
Carbon fiber reinforced cement-based composite material (CFRC) is a novel type of composite material that involves the incorporation of carbon fibers into ordinary concrete. This addition effectively enhances the tensile strength, deformation performance, and dynamic load resistance of reinforced concrete structures. Consequently, CFRC has found increasing applications in the construction industry. The objective of this research is to investigate the wear mechanisms of diamond tools during the sawing process of CFRC and offer guidance on cost reduction through the optimization of processing parameters. The wear analysis of diamond segments can be divided into two categories: matrix wear and diamond particle wear. The diamond particles can exist in different states, and the formation of voids resulting from the detachment of diamond particles is considered as a reference point. The analysis reveals that abrasive wear is the main mechanisms of matrix wear in CFRC sawing. The wear resistance is strongly influenced by the proportion of diamond particles in favorable states, which is determined by the applied loads and operating parameters. The proportion of diamond particles exhibits a clear variation with adjustments made to the feeding speed. Notably, an increase in feeding rate results in a significant decrease in the percentage of blunt particles, reducing it from 28% to 6%. To achieve a lower wear rate, a predictive model was established using Design Expert software based on the experimental results. The model demonstrated that a wear rate as low as 268.5 mm/m2 can be achieved with a flywheel speed of 78 r/min and a feeding speed of 90 mm/h. The optimization process, aimed at minimizing wear rate, was successfully carried out without compromising productivity.
- 17 May 2024
- Published by SAGE Publications in Advances in Mechanical Engineering
- Vol. 16 (5)
Open AccessWear mechanisms of diamond segmenta in cutting of carbon fiber reinforced cement-based composite and optimizing in parameters
Carbon fiber reinforced cement-based composite material (CFRC) is a novel type of composite material that involves the incorporation of carbon fibers into ordinary concrete. This addition effectively enhances the tensile strength, deformation performance, and dynamic load resistance of reinforced concrete structures. Consequently, CFRC has found increasing applications in the construction industry. The objective of this research is to investigate the wear mechanisms of diamond tools during the sawing process of CFRC and offer guidance on cost reduction through the optimization of processing parameters. The wear analysis of diamond segments can be divided into two categories: matrix wear and diamond particle wear. The diamond particles can exist in different states, and the formation of voids resulting from the detachment of diamond particles is considered as a reference point. The analysis reveals that abrasive wear is the main mechanisms of matrix wear in CFRC sawing. The wear resistance is strongly influenced by the proportion of diamond particles in favorable states, which is determined by the applied loads and operating parameters. The proportion of diamond particles exhibits a clear variation with adjustments made to the feeding speed. Notably, an increase in feeding rate results in a significant decrease in the percentage of blunt particles, reducing it from 28% to 6%. To achieve a lower wear rate, a predictive model was established using Design Expert software based on the experimental results. The model demonstrated that a wear rate as low as 268.5 mm/m2 can be achieved with a flywheel speed of 78 r/min and a feeding speed of 90 mm/h. The optimization process, aimed at minimizing wear rate, was successfully carried out without compromising productivity.