Investigation of the Effect of Process Parameters on Bone Grinding Performance Based on On-Line Measurement of Temperature and Force Sensors

Zhang, Lihui; Zou, Lei; Wen, Desheng; Wang, Xiaojia; Kong, Fanchao; Zhong-yu, Piao

doi:10.3390/s20113325

Cited by 11 publications

(9 citation statements)

References 33 publications

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“…According to the experimental results listed in Table 3, the grinding force grew when the feed speed was increased from 20 to 60 mm/min. The same trend was predicted by the theoretical model of the grinding force, according to equation (12). The removal process of the cortical bone grinding material included the sliding phase, the accumulation phase, and the cutting phase.…”

Section: Feed Speed Effect On Grinding Forcesupporting

confidence: 69%

“…As shown in Figure 12, the grinding depth effect on the grinding force was also quite pronounced, and increased grinding depth led to a higher grinding force. The theoretical model of the grinding force via equation (12) predicted the same behavior.…”

Section: Grinding Depth Effect On Grinding Forcementioning

confidence: 56%

“…However, the increased feed speed and grinding depth increased the grinding force. Zhang et al 12 studied the influence of grinding process parameters on bone grinding performance. Their results showed that cutting depth strongly affected the grinding temperature and normal force, while the spindle speed greatly influenced the tangential force.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cortical bone grinding mechanism modeling and experimental studyfor damage minimization in craniotomy

Fan

et al. 2021

Proc Inst Mech Eng H

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Craniotomy, as a part of neurosurgery, implies a safe opening of the skull with mechanical equipment. Grinding is a traditional machining method that can accurately and efficiently remove bone tissue. Aiming at low-damage and high-efficiency bone grinding, this study analyzed the kinematic law of a single abrasive grain during the grinding process. The theoretical model of grinding force was established based on the calculation of specific energy and friction force. The grinding test platform was set up, and the full factorial experimental design was performed to link the grinding force evolution with different processing parameters. The experimental results obtained on porcine femurs validated the model predictions where the grinding force grew with feed speed and grinding depth; it exhibited a decreasing trend with rotation speed, followed by increasing one.

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Section: Feed Speed Effect On Grinding Forcesupporting

confidence: 69%

Section: Grinding Depth Effect On Grinding Forcementioning

confidence: 56%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cortical bone grinding mechanism modeling and experimental studyfor damage minimization in craniotomy

Fan

et al. 2021

Proc Inst Mech Eng H

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“…Continuous water irrigation on the cutting surface was applied in this experimental test. Because the external irrigation had a major effect on reducing the temperature and minimalizing the thermal effect 35,36. Therefore, the tangential resistance becomes the main reference to the force of the sawing process and the basis of reproducing force sense.…”

Section: Discussionmentioning

confidence: 99%

Collaborative Control Method and Experimental Research on Robot-Assisted Craniomaxillofacial Osteotomy Based on the Force Feedback and Optical Navigation

Hui

Niu

et al. 2022

Journal of Craniofacial Surgery

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Objective: Surgical robot has advantages in high accuracy and stability. But during the robot-assisted bone surgery, the lack of force information from surgical area and incapability of intervention from surgeons become the obstacle. The aim of the study is to introduce a collaborative control method based on the force feedback and optical navigation, which may optimally combine the excellent performance of surgical robot with clinical experiences of surgeons. Materials and Methods: The CMF ROBOT system was integrated with the force feedback system to ensure the collaborative control. Force-velocity control algorithm based on force feedback was designed for this control method. In the preliminary experimental test, under the collaborative control mode based on force feedback and optical navigation, the craniomaxillofacial surgical robot entered the osteotomy line area according to the preoperative surgical plan, namely, right maxillary Le Fort I osteotomy, left maxillary Le Fort I osteotomy, and genioplasty. Results: The force sensor was able to collect and record the resistance data of the cutting process of the robot-assisted craniomaxillofacial osteotomy assisted in real time. The statistical results showed that the repeatability of collaborative control mode was acceptable in bilateral maxillary Le Fort I osteotomies (right, P=0.124>0.05 and left, P=0.183>0.05) and unfavorable in genioplasty (P=0.048<0.05). Conclusion: The feasibility of robot-assisted craniomaxillofacial osteotomy under the collaborative control method based on the force feedback and optical navigation was proved in some extent. The outcome of this research may improve the flexibility and safety of surgical robot to meet the demand of craniomaxillofacial osteotomy.

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“…According to Equation (2), the working parameters of the terrain height sensing device, namely, the moving speed, rotating torque, and preload (mass of STB), are considered the main factors. An orthogonal test was used to determine the primary and secondary orders of the parameters [19]. The orthogonal test method is a design method for arranging multifactor and multilevel combined experiments with the help of orthogonal tables using mathematical statistics and orthogonal principles [20].…”

Section: Design Of Experimentsmentioning

confidence: 99%

Research on Terrain Sensing Method and Model Prediction for Height Adjustment of Sugarcane Harvester Base Cutter

Zhao

Jiao

Wang

et al. 2022

Wireless Communications and Mobile Computing

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The sugarcane plantations in China occupy large areas of undulated terrain. During the operation of a sugarcane harvester, the operator’s vision is severely obstructed, and the height of the cutter needs to be adjusted frequently, resulting in low sugarcane harvesting efficiency and difficulty in ensuring harvesting quality. However, the current diversified non-contact methods are unable to distinguish or penetrate the interference well to provide feedback regarding the change in terrain height. Based on the proposed contact sensing method, a contact terrain sensing device is designed for application to the sugarcane harvester, and the orthogonal test is carried out with the standard orthogonal table L9(34) to study the influence of the working parameters of the device on the terrain height sensing performance. Through the analysis of the working principle of the device, three factors (moving speed, rotational torque, and preload) are tested in three levels, and index systems of the Fréchet distance and residual standard deviation are proposed. The range and variance analysis methods are used to statistically analyze the test results to determine the primary and secondary orders of operation parameters. Then, the regression model was obtained by regression analysis on the influencing factors. After analysis, the influences of moving speed and rotating torque were found to be the most significant, and the influence of preload was the smallest. The results show that the average relative errors between the experimental values and predicted model values of the Fréchet distance and residual standard deviation were 3.46% and 2.48%. According to the practical applications of the sugarcane harvester and the data of the two indexes, the optimal value ranges of moving speed (km/h) and rotating torque (Nm) are determined as (1.57, 1.75) and (0.73, 0.86), respectively, which provide a certain reference for the subsequent application of the terrain sensing device to sugarcane harvesters.

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Investigation of the Effect of Process Parameters on Bone Grinding Performance Based on On-Line Measurement of Temperature and Force Sensors

Cited by 11 publications

References 33 publications

Cortical bone grinding mechanism modeling and experimental studyfor damage minimization in craniotomy

Cortical bone grinding mechanism modeling and experimental studyfor damage minimization in craniotomy

Collaborative Control Method and Experimental Research on Robot-Assisted Craniomaxillofacial Osteotomy Based on the Force Feedback and Optical Navigation

Research on Terrain Sensing Method and Model Prediction for Height Adjustment of Sugarcane Harvester Base Cutter

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