Empirical Models between User Requirements and Product Structural Variables: A Hydraulic Forging Press Case Study

2011 ◽  
Vol 697-698 ◽  
pp. 779-784 ◽  
Author(s):  
X. Li ◽  
Yan Qun Huang

To effectively determine the key parameters of a model for complex mechanical products like hydraulic forging press (HFP), design cases were analyzed, user requirements (URs) quantified, and important mechanical structural variables (SVs) addressed to identify the underlying relationships between URs and SVs. By including experts’ experiences, empirical models were mathematically built and verified basing on the linear regression theory, and then applied to estimate practical variable values. The programmatic framework presented for the preliminary design of a product was implemented and successfully demonstrated on the preliminary design of an HFP company.

2009 ◽  
Vol 628-629 ◽  
pp. 143-148
Author(s):  
Y.Q. Huang ◽  
F. Bian ◽  
L.M. Zhu ◽  
S.B. Kan

Empirical models, which are based on linear regression method, will enable the transfer of the quote experiences and knowledge hidden within company’s databases since the use of experts’ judgment is unavoidable for most manufacturing companies to estimate the product cost in the early phases of the design cycle. By studying many quote cases on medium and large size mechanical products and analyzing the relationship between costs and relevant structural variables, the empirical equations are mathematically modeled for modular products. With an H-frame hydraulic forging press example, the estimating process is implemented and successfully demonstrated.


2014 ◽  
Vol 989-994 ◽  
pp. 2220-2222
Author(s):  
Meng Zhang

The paper presents a valid and efficient method to teach ideological and political education courses in linear regression analysis. It includes theory and practice parts, where interactive learning methodologies are created. It adopts case-study teaching, since this teaching method effectively integrates theoretical teaching and practical teaching. The lectures should be not an exhaustive review of regression methodology, but they should focus on how the regression models derived. Moreover, the teacher should pay more attention to the theoretical aspects of models rather than to their implementation using software. Students work in teams of three or four on a problem presented by teachers and choose relevant software to carry out their own projects. Feedback from students indicates that this method of teaching improves students' class attendance and greatly increases their interest in learning.


2010 ◽  
Vol 67 (8) ◽  
pp. 1291-1302 ◽  
Author(s):  
Helder Cunha Pereira ◽  
Norman Allott ◽  
Catherine Coxon

This paper compares, for the first time, nutrient levels and chlorophyll a measured in a set of seasonal lakes with those reported for permanent lakes in the literature. Twenty-two turloughs (karstic seasonal lakes) in western Ireland were sampled monthly from the onset of flooding (October) until they dried out (6 to 9 months). The turloughs showed similar levels of nutrients and chlorophyll a to those reported for Irish and international lakes. Chlorophyll a peaked between November and February in the majority of turloughs, sometimes with values higher than those measured in mesotrophic lakes in summer. A significant log-linear regression was found between total phosphorus and chlorophyll a, which suggests P limitation of algal biomass in the majority of the turloughs. The regression characteristics were not significantly different than those described in similar studies of permanent lakes. Patterns in seasonal variation of nutrients are also presented, their underlying causes being discussed in relation to their transport within catchments. Our results show that despite being predominantly winter phenomena, turloughs can be as productive as permanent lakes.


2013 ◽  
Vol 32 (9) ◽  
pp. 920-937 ◽  
Author(s):  
Wen Huei Chou ◽  
Yu-Ting Lai ◽  
Kuang-Hsia Liu

2001 ◽  
Vol 44 (2-3) ◽  
pp. 235-242 ◽  
Author(s):  
B. De heyder ◽  
P. Ockier ◽  
R. Jansen ◽  
R. Huiberts

Several process units at a wastewater treatment plant (WWTP) can produce a significant level of sound and thus induce sound nuisance for nearby residents. The risk for sound nuisance should be considered by making a prognosis of sound impact in an early project phase (planning, design). A prognosis requires information with respect to the sound characteristics of the different process units. This paper reports the development of empirical models for the sound power of relevant process units in the water line at Aquafin WWTPs. The used methodology for model derivation and validation allowed us to minimize the required number of measurements. Besides the methodology, the paper describes in detail the derivation and validation of the empirical model for the splashing water of screw pumps. Also the use of all the derived empirical models to determine the sound impact of a wastewater treatment plant at close distance is illustrated with a case-study.


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