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Design Customization of Respiratory Mask based on 3D Face Anthropometric Data
Chih-Hsing Chu,Szu-Hao Huang,Chih-Kai Yang,Chun-Yang Tseng 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
This study presents a machine learning based method for design customization of a 3D respiratory mask. A parametric model of a3D human face was constructed from an anthropometric database consisting of 495 facial models. An AdaBoost.R algorithm wasapplied to identify a set of measurable parameters most related to the facial geometry. The correlation between parameters wasestimated using principal component analysis and linear regression. With those parameter values as input, the parametric modelgenerates 3D meshes of a human face that serve as a design reference for the construction of a customized respiratory mask of agood fit. We conducted a series of experiments with 10-fold cross-validation to validate the effectiveness of the proposed method.
Precise 5-Axis Grooving of Tire Mold Based on Surface Re-Parameterization
Chih-Hsing Chu,Chih-Hsin Hsu 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.
Grooving of tire mold is a complex machining process. The profile of a groove must be precisely formed on the road surface while the machining deviation of the wall surface must meet its design specifications. Previous tool path planning methods driven by optimization of machining errors perform unacceptably because of those restrictions. This paper proposes a new approach for precise 5-axis grooving of tire mold. Surface re-parameterization based on the two curve parameters of a ruled surface is applied to maximize the developability of the wall surface using Particle Swarm Optimization (PSO). The machining errors produced by moving the cutter along the resultant rulings is thus reduced. Grooving of a real tire mold demonstrates the effectiveness of the proposed approach.
Chih-Hsing Chu,Yu-Wang Liu,Pai-Chia Li,Liao-Chuan Huang,Yuan-Ping Luh 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.5
This study presents a programming by demonstration (PbD) interface in augmented reality for motion planning in a three-axis CNC glue dispenser. The interface assists a human planner to effectively determine dispenser motion in a planning task. An augmented reality application prompts the planner with instructive information in a video of real environment while guiding the machine in 3D space to dispense glue on a work part. The purpose involves facilitating the generation of the dispenser’s motion commands by enhancing individual spatial reasoning between the dispenser’s tip and the work part. CAD models are not required prior to the planning task, thus eliminating the use of motion planning software. Test results demonstrate the effectiveness of the proposed interface with respect to accelerating the process of the dispenser PbD. The study shows the practical value of augmented reality as a cost-effective interfacing technology for human–machine collaborations in smart manufacturing.
Real-World Effectiveness and Safety of SOF/LDV for Pa-tients with Chronic Hepatitis C in Taiwan
( Ching-chu Lo ),( Pin-nan Cheng ),( Chi-yi Chen ),( Chung-feng Huang ),( Hsing-tao Kuo ),( Kuo-chih Tseng ),( Yi-hsiang Huang ),( Chi-ming Tai ),( Cheng-yuan Peng ),( Ming-jong Bair ),( Chien-hung Ch 대한간학회 2021 춘·추계 학술대회 (KASL) Vol.2021 No.1
Lu Yang,Chih-Hsing Chu,Yu-Can Fu,Jiu-Hua Xu,Yong-Tao Liu 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
This paper primarily reviews the general condition of research on and applications of high speed and ultra-high speed grinding technology. Both technical requirements for grinding wheels used for high speed and ultra-high speed grinding, and existing problems with the current processes are pointed out. Specific to these problems, the discussion regarding high-performance lightweight grinding wheels with a carbon fiber reinforced plastic (CFRP) substrate focuses on three aspects, i.e., design and manufacture, experimental grinding research, and practical industrial applications. Based on the summary of existing research and the application status of the CFRP grinding wheel, existing deficiencies are qualitatively discussed. Focusing on the development of a lightweight CFRP grinding wheel for high speed and ultra-high speed grinding at the end of the paper, some key technical problems with CFRP substrate grinding wheels, such as controlled performance, controlled shape, and the grinding mechanism, are identified, along with further research strategies to resolve them.
Novel kinematic and geometric views for improving tooth contact analysis of spatial gears
Wang Shenghui,Zhou Yuansheng,Chu Chih-Hsing,Tang Jinyuan 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.3
Tooth contact analysis (TCA) has been widely applied to evaluate the working performance of gear pairs. TCA is often formulated with five unknowns and five independent scalar equations. The solution process involves a global optimization problem with strong nonlinearity and numerical instability, especially for spatial gears with complicated tooth geometries. This study proposes novel kinematic and geometric views of gearing that reveal insights into the meshing process of spatial gears. One unknown can be removed from the position and normal equations of the TCA formulation. To solve the remaining four unknowns, a simplified optimization model with two unknowns is proposed, and the other two unknowns are obtained by using geometric iterative methods or directly from explicit expressions in some cases. A general algorithm was developed to solve the simplified TCA. The test results of both the spiral bevel and face gear drives validate the effectiveness of the proposed method.
Risk Management of Hazardous Substances in Selection of Green Suppliers
Tsai Chi Kuo,Chih-Hsing Chu 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.
In order to satisfy customer requirements to comply with the control of hazardous substances (HS), most suppliers have developed a twofold strategy comprising certified document review and online testing. Nevertheless, many suppliers remain far from complying,collecting, and managing such data efficiently. They encounter significant challenges and risks in screening all the hazardous substance contained in received components as part of the green part approval management (GPAM) process. The present study developed a failure mode and effects analysis (FMEA) for component risk, based on component types. In addition, suppliers’ HS control performance is further evaluated, based on FMEA and X-bar control chart. The results indicate the risk level for each supplier. Finally, the proposed FMEA model is applied to a case study of an electronics supplier.
A Decision Support System to Estimate the Carbon Emission and Cost of Product Designs
Jack C. P. Su,Chih-Hsing Chu,Yu-Te Wang 한국정밀공학회 2012 International Journal of Precision Engineering and Vol. No.
Due to the rising awareness of environmental protection, environmental impact of a product becomes an important design criterion. However, most companies do not have sufficient tools to evaluate the environmental impact of their designs. In this paper, a system to evaluate the carbon emission and cost of product designs is developed to help company determine which design to adopt. For a given design, the assembly structure, assembly sequence, and the supply chain configuration are optimized to minimize the carbon emission. An evolution based genetic algorithm is developed to search the assembly structure and sequence. A dynamic programming based algorithm is developed to optimize the supply chain configuration. To estimate the carbon emission, from cradle to gate life cycle assessment approach is adopted. A real world computer chair examples are used to illustrate the system.
A Statistical Framework for Characterizing the Nanotube Buckypaper Manufacturing Process
Chi-Lung Kuo,Chih-Hsing Chu,Che-Ping Jack Su,Hsin-Yuan Miao 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.
This study develops a statistical framework for characterizing an improved Buckypaper manufacturing process. A screening procedurebased on design of experiment techniques and the Lenth method was used to identify significant process parameters. These parameterssignificantly affect the tensile strength of the Buckypaper produced by the process. The procedure only samples a limited number ofexperimental runs. A linear regression model and a nonlinear model based on the Kriging method were constructed to characterizethe relationship between the parameters and tensile strength. Tradeoff curves were used to determine the best parameter settings whensimultaneously considering the mean and variance of the tensile strength. Validation tests show that both models are better predictorsthan previous models and the nonlinear model outperforms the linear model. The statistical framework provides a systematic andeffective method of characterizing the manufacture of nanotube products.