Ensemble RBF Modeling Technique for Quality Design

2019 ◽  
Author(s):  
Linhan Ouyang ◽  
Liangqi Wan ◽  
Chanseok Park ◽  
Jianjun Wang ◽  
Yizhong Ma
Keyword(s):  
Modeling Technique ◽  
Quality Design

scholarly journals Ensemble RBF modeling technique for quality design

2019 ◽  
Vol 4 (2) ◽  
pp. 105-118 ◽  
Author(s):  
Linhan Ouyang ◽  
Liangqi Wan ◽  
Chanseok Park ◽  
Jianjun Wang ◽  
Yizhong Ma
Keyword(s):  
Modeling Technique ◽  
Quality Design

A comprehensive and novel predictive modeling technique using detailed pathology factors in men with localized prostate carcinoma

Cancer ◽  
2002 ◽  
Vol 95 (7) ◽  
pp. 1451-1456 ◽  
Author(s):  
Louis Potters ◽  
Rosemary Purrazzella ◽  
Sheryl Brustein ◽  
Paul Fearn ◽  
Steven A. Leibel ◽  
...  
Keyword(s):  
Predictive Modeling ◽  
Prostate Carcinoma ◽  
Modeling Technique

scholarly journals Near Infrared Spectroscopy as a Green Technology for the Quality Prediction of Intact Olives

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1042
Author(s):  
Silvia Grassi ◽  
Olusola Samuel Jolayemi ◽  
Valentina Giovenzana ◽  
Alessio Tugnolo ◽  
Giacomo Squeo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Olive Oil ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Green Technology ◽  
Soluble Solids ◽  
Integrating Sphere ◽  
Total Phenolic ◽  
Handheld Device ◽  
Quality Design

Poorly emphasized aspects for a sustainable olive oil system are chemical analysis replacement and quality design of the final product. In this context, near infrared spectroscopy (NIRS) can play a pivotal role. Thus, this study aims at comparing performances of different NIRS systems for the prediction of moisture, oil content, soluble solids, total phenolic content, and antioxidant activity of intact olive drupes. The results obtained by a Fourier transform (FT)-NIR spectrometer, equipped with both an integrating sphere and a fiber optic probe, and a Vis/NIR handheld device are discussed. Almost all the partial least squares regression models were encouraging in predicting the quality parameters (0.64 < R2pred < 0.84), with small and comparable biases (p > 0.05). The pair-wise comparison between the standard deviations demonstrated that the FT-NIR models were always similar except for moisture (p < 0.05), whereas a slightly lower performance of the Vis/NIR models was assessed. Summarizing, while on-line or in-line applications of the FT-NIR optical probe should be promoted in oil mills in order to quickly classify the drupes for a better quality design of the olive oil, the portable and cheaper Vis/NIR device could be useful for preliminary quality evaluation of olive drupes directly in the field.

Reverse Modeling and Topological Optimization for Lightweight Design of Automobile Wheel Hubs with Hollow Ribs

2019 ◽  
Vol 17 (09) ◽  
pp. 1950064
Author(s):  
P. F. Xu ◽  
S. Y. Duan ◽  
F. Wang
Keyword(s):  
Finite Element ◽  
Lightweight Design ◽  
Element Model ◽  
Optimization Method ◽  
Modeling Technique ◽  
Topological Optimization ◽  
Time Interval ◽  
Braking Performance ◽  
Existing Structures ◽  
Physical Conditions

Lightweight of wheel hubs is the linchpin for reducing the unsprung mass and improving the vehicle dynamic and braking performance of vehicles, thus, sustaining stability and comfortability. Current experience-based lightweight designs of wheel hubs have been argued to render uneven distribution of materials. This work develops a novel method to combine the reverse modeling technique with the topological optimization method to derive lightweight wheel hubs based on the principles of mechanics. A reverse modeling technique is first adopted to scan and reproduce the prototype 3D geometry of the wheel hub with solid ribs. The finite element method (FEM) is then applied to perform stress analysis to identify the maximum stress and its location of wheel hub under variable potential physical conditions. The finite element model is then divided into optimization region and nonoptimized region: the former is the interior portion of spoke and the latter is the outer surface of the spoke. A topology optimization is then conducted to remove the optimization region which is interior material of the spokes. The hollow wheel hub is then reconstructed with constant wall thickness about 5[Formula: see text]mm via a reverse modeling technique. The results show that the reconstructed model can reduce the mass of 12.7% compared to the pre-optimized model. The present method of this paper can guarantee the optimal distribution of wheel hub material based on mechanics principle. It can be implemented automatically to shorten the time interval for optimal lightweight designs. It is especially preferable for many existing structures and components as it maintains the structural appearance of optimization object.

The Selection Evaluation of Design Bidding

2014 ◽  
Vol 501-504 ◽  
pp. 2638-2641 ◽  
Author(s):  
Peng Cheng Pan ◽  
Yanan Shao ◽  
Huan Liu
Keyword(s):  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Design Teams ◽  
Design Quality ◽  
Quality Cost ◽  
Quality Design

The quality of the project depends firstly on the design. Selected excellent design units can help the owner to realize the projects quality, cost and schedule target. The principles of the evaluation in design bidding were discussed in this paper. The design quality, design fees quotation, design teams service commitments, design teams ability, design institutions strength, and design institutions reputation were given as the six aspects of evaluation index system. last, the organization of evaluator was discusses.

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