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Tseng, Tzu-Liang Bill,Kwon, Yongjin James Society for Computational Design and Engineering 2014 Journal of computational design and engineering Vol.1 No.2
This study investigates the effects of machining parameters as they relate to the quality characteristics of machined features. Two most important quality characteristics are set as the dimensional accuracy and the surface roughness. Before any newly acquired machine tool is put to use for production, it is important to test the machine in a systematic way to find out how different parameter settings affect machining quality. The empirical verification was made by conducting a Design of Experiment (DOE) with 3 levels and 3 factors on a state-of-the-art Cincinnati Hawk Arrow 750 Vertical Machining Center (VMC). Data analysis revealed that the significant factor was the Hardness of the material and the significant interaction effect was the Hardness + Feed for dimensional accuracy, while the significant factor was Speed for surface roughness. Since the equally important thing is the capability of the instruments from which the quality characteristics are being measured, a comparison was made between the VMC touch probe readings and the measurements from a Mi-tutoyo coordinate measuring machine (CMM) on bore diameters. A machine mounted touch probe has gained a wide acceptance in recent years, as it is more suitable for the modern manufacturing environment. The data vindicated that the VMC touch probe has the capability that is suitable for the production environment. The test results can be incorporated in the process plan to help maintain the machining quality in the subsequent runs.
Hybrid Type II fuzzy system & data mining approach for surface finish
Tseng, Tzu-Liang (Bill),Jiang, Fuhua,Kwon, Yongjin (James) Society for Computational Design and Engineering 2015 Journal of computational design and engineering Vol.2 No.3
In this study, a new methodology in predicting a system output has been investigated by applying a data mining technique and a hybrid type II fuzzy system in CNC turning operations. The purpose was to generate a supplemental control function under the dynamic machining environment, where unforeseeable changes may occur frequently. Two different types of membership functions were developed for the fuzzy logic systems and also by combining the two types, a hybrid system was generated. Genetic algorithm was used for fuzzy adaptation in the control system. Fuzzy rules are automatically modified in the process of genetic algorithm training. The computational results showed that the hybrid system with a genetic adaptation generated a far better accuracy. The hybrid fuzzy system with genetic algorithm training demonstrated more effective prediction capability and a strong potential for the implementation into existing control functions.
E-quality control: A support vector machines approach
Tseng, Tzu-Liang (Bill),Aleti, Kalyan Reddy,Hu, Zhonghua,Kwon, Yongjin (James) Society for Computational Design and Engineering 2016 Journal of computational design and engineering Vol.3 No.2
The automated part quality inspection poses many challenges to the engineers, especially when the part features to be inspected become complicated. A large quantity of part inspection at a faster rate should be relied upon computerized, automated inspection methods, which requires advanced quality control approaches. In this context, this work uses innovative methods in remote part tracking and quality control with the aid of the modern equipment and application of support vector machine (SVM) learning approach to predict the outcome of the quality control process. The classifier equations are built on the data obtained from the experiments and analyzed with different kernel functions. From the analysis, detailed outcome is presented for six different cases. The results indicate the robustness of support vector classification for the experimental data with two output classes.
A novel approach to predict surface roughness in machining operations using fuzzy set theory
Tseng, Tzu-Liang (Bill),Konada, Udayvarun,Kwon, Yongjin (James) Society for Computational Design and Engineering 2016 Journal of computational design and engineering Vol.3 No.1
The increase of consumer needs for quality metal cutting related products with more precise tolerances and better product surface roughness has driven the metal cutting industry to continuously improve quality control of metal cutting processes. In this paper, two different approaches are discussed. First, design of experiments (DOE) is used to determine the significant factors and then fuzzy logic approach is presented for the prediction of surface roughness. The data used for the training and checking the fuzzy logic performance is derived from the experiments conducted on a CNC milling machine. In order to obtain better surface roughness, the proper sets of cutting parameters are determined before the process takes place. The factors considered for DOE in the experiment were the depth of cut, feed rate per tooth, cutting speed, tool nose radius, the use of cutting fluid and the three components of the cutting force. Finally the significant factors were used as input factors for fuzzy logic mechanism and surface roughness is predicted with empirical formula developed. Test results show good agreement between the actual process output and the predicted surface roughness.
Automated quality characterization of 3D printed bone scaffolds
Tseng, Tzu-Liang Bill,Chilukuri, Aditya,Park, Sang C.,Kwon, Yongjin James Society for Computational Design and Engineering 2014 Journal of computational design and engineering Vol.1 No.3
Optimization of design is an important step in obtaining tissue engineering scaffolds with appropriate shapes and inner micro-structures. Different shapes and sizes of scaffolds are modeled using UGS NX 6.0 software with variable pore sizes. The quality issue we are concerned is the scaffold porosity, which is mainly caused by the fabrication inaccuracies. Bone scaffolds are usually characterized using a scanning electron microscope, but this study presents a new automated inspection and classification technique. Due to many numbers and size variations for the pores, the manual inspection of the fabricated scaffolds tends to be error-prone and costly. Manual inspection also raises the chance of contamination. Thus, non-contact, precise inspection is preferred. In this study, the critical dimensions are automatically measured by the vision camera. The measured data are analyzed to classify the quality characteristics. The automated inspection and classification techniques developed in this study are expected to improve the quality of the fabricated scaffolds and reduce the overall cost of manufacturing.
Angelica dahurica attenuates melanogenesis in B16F0 cells by repressing Wnt/β-catenin signaling
Fang Chien-Liang,Goswami Debakshee,Kuo Chia-Hua,Day Cecilia Hsuan,Lin Mei-Yi,Ho Tsung-Jung,Yang Liang-Yo,Hsieh Dennis Jine-Yuan,Lin Tzu-Kai,Huang Chih-Yang 대한독성 유전단백체 학회 2023 Molecular & cellular toxicology Vol.19 No.1
Background Melanogenesis is a complex process which is tightly regulated by several enzymes. However, abnormal melanogenesis can cause severe dermatological problems. Roots of Angelica dahurica have been used for skin care as a part of traditional Chinese medicine for many generations. However, the role of A. dahurica in melanogenesis remains unclear. Objective Previous in vitro and in vivo studies have demonstrated that NK-1R exerts positive effects in melanogenesis via the Wnt/βcatenin signaling pathway. In this study, we investigated the effects of A. dahurica ethanol extract (ADE) on NK-1R and Wnt/β-catenin signaling, and evaluated the effect of NK-1R on melanogenesis in B16F0 cells. Results Angelica dahurica ethanol extract efficiently downregulated Neurokinin-1 receptor and Wnt/β-catenin signaling by decreasing the expression of β-catenin, MITF, LEF-1, TYR, TRP1, and TRP2 and increasing the expression of GSK3β, which resulted from the weakened expression of the Neurokinin-1 receptor inhibitor [Sar9,Met(O2 )11]-Substance P (SMSP). Furthermore, the intracellular melanin assay and cellular tyrosinase activity confirmed these findings. Conclusion This study suggests that ADE has potential to downregulate Neurokinin-1 receptor in SMSP-induced B16F0 cells, thereby repressing the Wnt/β-catenin signaling and reduces melanin production.
Middle Cerebral Artery Compromise Associated With Post-traumatic Hydrocephalus: A Case Report
Tzu-Ning Chen,Keng-Liang Kuo,Chih-Lung Lin,Yu-Feng Su 대한신경손상학회 2023 Korean Journal of Neurotrauma Vol.19 No.4
Post-traumatic hydrocephalus (PTH) is a commonly encountered complication following decompressive craniectomy, and is usually characterized by symptoms including headache, nausea, vomiting, and papilledema. Extracranial herniation accompanied by hemiplegia is a rare complication in patients with PTH who underwent craniectomy after subdural hematoma removal. We report a case of PTH that presented with extracranial herniation within one month of decompressive craniectomy. Following ventriculoperitoneal shunt implantation, left hemiplegia improved dramatically with restoration of the left middle cerebral artery blood flow, which was evident on serial imaging. Vascular compromise is often overshadowed by increased intracranial pressure when clinicians are dealing with traumatic brain injury patients. Delicate neurological and radiological examinations and prompt early interventions could lead to optimal outcomes in patients receiving decompressive craniectomy.
Tzu-Huan Peng,Chiou-Liang Lin,Hsien Chen 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.2
We evaluated the effects of Na, K, Ca, and the steam-to-biomass (S/B) ratio on gasification efficiency duringsyngas production. The results show that H2 production was positively correlated with the S/B ratio. However, increasesin the S/B ratio were limited because excessive steam decreased the reactor temperature and hampered the gasificationprocess. Regarding the effects of alkali metals on syngas composition, we found that the addition of either Na or Kincreased the molar percentages of H2 and CO, but decreased CH4 and CO2. The results also clearly show that the additionof Na or K improved the yield of syngas, the carbon conversion efficiency, and the cold gas efficiency. Improvementswere especially pronounced with K. Furthermore, Ca had different interactions with Na and K during gasification. WhenNa and Ca existed simultaneously, H2 production was enhanced.