The Experts below are selected from a list of 509229 Experts worldwide ranked by ideXlab platform
Yan Wang - One of the best experts on this subject based on the ideXlab platform.
-
Study on Grinding Force Model in Ultrasonic Vibration Assisted Grinding for Ductile Materials
Materials Science Forum, 2013Co-Authors: Yan Wang, Bin Lin, Shao Lei Wang, Xiao Yan CaoAbstract:Ultrasonic vibration Assisted Grinding (UAG) is an effective processingmethod for difficultmachiningmetalmaterial.This paper put forward a new Model to predict the grinding Force in UAG. The paper presents the abrasive grain motion equations, removal rate Model,grinding Force Model and grinding Force ratio Model.According to the grinding Force Model, the grinding Force will decrease as the spindle speed, vibration amplitude and vibration frequency increase. The grinding Force increase as the grinding depth and feed rate increase.
-
IROS - Cutting Force Model of dental training system
2005 IEEE RSJ International Conference on Intelligent Robots and Systems, 2005Co-Authors: Guanyang Liu, Yuru Zhang, Dangxiao Wang, J. Hao, Yan WangAbstract:This paper presents a cutting Force Model for dental training system with haptic display capability. The Force Model is proposed by theoretic analysis of the cutting Force between dental tools and tooth. A damping matrix is developed for obtaining a unified formulation for all components of cutting Forces. All factors that affect the cutting Force are considered in the Model by including a number of parameters. These parameters are identified by tooth-cut experiments, which measure the cutting Force with a six-dimensional Force sensor. A prototype system of haptic simulation is developed to test the Model. Dentists performing virtual operation on the system have confirmed the realistic sense of cutting Force.
Yongjun Tang - One of the best experts on this subject based on the ideXlab platform.
-
a cutting Force Model for rotary ultrasonic machining of brittle materials
International Journal of Machine Tools & Manufacture, 2012Co-Authors: Defu Liu, Weilong Cong, Z J Pei, Yongjun TangAbstract:Abstract Knowing cutting Force in rotary ultrasonic machining (RUM) can help optimizing input variables. RUM of brittle materials has been investigated both experimentally and theoretically. However, there are no reports on cutting Force Models for RUM of brittle materials. This paper presents a mechanistic Model for cutting Force in RUM of brittle materials. Assuming that brittle fracture is the primary mechanism of material removal in RUM of brittle materials, the cutting Force Model is developed step by step. On the basis of this mechanistic Model, relationships between cutting Force and input variables (such as spindle speed, feed rate, ultrasonic vibration amplitude, abrasive size, and abrasive concentration) are predicted. Experiments are conducted for Model verification and experimental results agree well with Model predictions.
Heng Meng - One of the best experts on this subject based on the ideXlab platform.
-
study on cutting Force Model in ultrasonic vibration assisted side grinding of zirconia ceramics
International Journal of Machine Tools & Manufacture, 2016Co-Authors: Xingzhi Xiao, Kan Zheng, Wenhe Liao, Heng MengAbstract:Abstract Ultrasonic vibration assisted side grinding (UVASG) has outstanding performance in machining hard-and-brittle materials, such as ceramics. The cutting Force is the key factor that affects the machined surface/subsurface quality, which has been investigated both experimentally and theoretically. However, the combined effect of both ductile removal and brittle fracture removal on cutting Force Model in UVASG of ceramics has not been reported yet. In this study, a theoretical cutting Force Model is proposed with the consideration of the ductile-to-brittle transition removal mechanism in UVASG of ceramics. The critical cutting depth of ductile-to-brittle transition has been determined experimentally to distinguish the ductile region and brittle region. Besides, the average cutting depths have been derived for the Modeling of the cutting Forces in ductile and brittle region, respectively. Then the number of active diamond grits has been presented for the development of the final cutting Force Model. The parameter K is introduced to represent the influence of overlapping and intersection between different diamond grits. In addition, the relationship between cutting Force and input variables has been revealed through the Model. Finally, the pilot experiments are conducted to verify the theoretical Model. The experimental results are consistent well with the Model predictions. Therefore, the theoretical Model can be applied to evaluate the cutting Force, and it can provide better understanding of the effects of ductile removal and brittle fracture removal on the cutting Force during UVASG of ceramics.
Defu Liu - One of the best experts on this subject based on the ideXlab platform.
-
a cutting Force Model for rotary ultrasonic machining of brittle materials
International Journal of Machine Tools & Manufacture, 2012Co-Authors: Defu Liu, Weilong Cong, Z J Pei, Yongjun TangAbstract:Abstract Knowing cutting Force in rotary ultrasonic machining (RUM) can help optimizing input variables. RUM of brittle materials has been investigated both experimentally and theoretically. However, there are no reports on cutting Force Models for RUM of brittle materials. This paper presents a mechanistic Model for cutting Force in RUM of brittle materials. Assuming that brittle fracture is the primary mechanism of material removal in RUM of brittle materials, the cutting Force Model is developed step by step. On the basis of this mechanistic Model, relationships between cutting Force and input variables (such as spindle speed, feed rate, ultrasonic vibration amplitude, abrasive size, and abrasive concentration) are predicted. Experiments are conducted for Model verification and experimental results agree well with Model predictions.
Jun Wang - One of the best experts on this subject based on the ideXlab platform.
-
analysis of grinding mechanics and improved predictive Force Model based on material removal and plastic stacking mechanisms
International Journal of Machine Tools & Manufacture, 2017Co-Authors: Yanbin Zhang, Xiaohui Yang, Min Yang, Dongzhou Jia, Xianpeng Zhang, Jun WangAbstract:Abstract Numerous researchers have developed theoretical and experimental approaches to Force prediction in surface grinding under dry conditions. Nevertheless, the combined effect of material removal and plastic stacking on grinding Force Model has not been investigated. In addition, predominant lubricating conditions, such as flood, minimum quantity lubrication, and nanofluid minimum quantity lubrication, have not been considered in existing Force Models. This work presents an improved theoretical Force Model that considers material-removal and plastic-stacking mechanisms. Grain states, including cutting and ploughing, are determined by cutting efficiency (β). The influence of lubricating conditions is also considered in the proposed Force Model. Simulation is performed to obtain the cutting depth (ag) of each “dynamic active grain.” Parameter β is introduced to represent the plastic-stacking rate and determine the Force algorithms of each grain. The aggregate Force is derived through the synthesis of each single-grain Force. Finally, pilot experiments are conducted to test the theoretical Model. Findings show that the Model's predictions are consistent with the experimental results, with average errors of 4.19% and 4.31% for the normal and tangential Force components, respectively.
-
Research and Improvement on the Rolling Force Model of Plate
Advanced Materials Research, 2010Co-Authors: Jun Wang, Chun Li Jia, Zhong Zhao, Zhi Jie Jiao, Jian Ping WangAbstract:Rolling Force Model is the core of all the mathematical Models of plate for rolling process, but the accuracy of traditional rolling Force Model is not high enough in application, so in this study the rolling Force Model of plate is researched and improved. The effects of different physical conditions on resistance of deformation are decoupled, and the formula acquired is practical. While the composition, Nb is used to calculate residual strain. At the same time, the self-learning method, which is based on the thickness layer is applied. The on-line application results show that the predictive error between Force Model calculated and measured can be controlled at less than 9% and 80% of the passes can be controlled within 5%.
