The influence analysis that disk shearing machine parameter setting and quality of the side shearing

2012 ◽  
Author(s):  
Jing Yang ◽  
Bing Chen ◽  
Zhong-jun Yin ◽  
Shu-hao Liu
Keyword(s):  
Machine Parameter ◽  
Parameter Setting ◽  
Influence Analysis

A Study of Injection Moulding Optimum Parameters to Control Shrinkage and Warpage of Polypropylene-Nanoclay Hinges Samples

2013 ◽  
Vol 465-466 ◽  
pp. 1011-1015 ◽  
Author(s):  
Wan Nur Azrina Wan Muhammad ◽  
Mohd Hilmi Othman ◽  
Sulaiman Hasan ◽  
Muhammad Faiz Ruslee
Keyword(s):  
Mass Production ◽  
Injection Moulding ◽  
Complex Geometry ◽  
Signal To Noise Ratio ◽  
Parameter Setting ◽  
Melt Temperature ◽  
Optimum Parameters ◽  
Packing Pressure ◽  
Filling Time

Injection moulding is one of the most efficient processes in mass production that can easily attain up to complex geometry product within a very short cycle time. To choose a suitable setting of parameter was very crucial, in controlling the quality of product with regard to their function. The main propose of this research is to optimize the injection moulding parameter for controlling the shrinkage and warpage of thermoplastics sample through practical injection moulding. The additional study for this project is to investigate the effect of nanoclay contents towards the parameter setting. In this experiment, the selected parameters were packing pressure; melt temperature, screw speed and filling time. The material that was selected for this project was a mixture of polypropylene and nanoclay with the addition of polypropylene-grafted-maleic anhydride as the compatibilizer. Three formulations were chosen, which was 0 wt%, 3 wt% and 5 wt% of Nanoclay. Each formulation was added with 15 wt% of compatibilizer. The experiment design for this project shall adopt the L943Orthogonal Array of Taguchi Method. By using the Signal to Noise Ratio responses, the optimum parameter for each formulation has been obtained. The findings of this experiment shall be useful for future manufacturing process in order to control shrinkage and warpage specifically for products made from polypropylene-nanoclay.

What Future for the Right to Buy?

1998 ◽  
Vol 30 (4) ◽  
pp. 647-664 ◽  
Author(s):  
M Munro ◽  
A Littlewood
Keyword(s):  
Multivariate Analysis ◽  
Perceived Quality ◽  
Family Characteristics ◽  
Influence Analysis ◽  
House Condition ◽  
The Right ◽  
Near Future ◽  
Right To Buy

In this paper evidence from the 1991 Scottish House Condition Survey is used to analyse the extent to which, after over fifteen years of continuing sales under the right to buy, there still remains further scope for sales under this policy. The authors confirm that there are continuing cohorts of people who express a desire to buy in the near future. Multivariate analysis indicates that the motivation to buy is chiefly created by the households' economic circumstances, but family characteristics, the type and perceived quality of the house, and rent levels also exert an independent influence. Analysis also suggests that the responses to the relatively hypothetical questions about future intentions appear to be consistent both with aggregate outturns and with the expected characteristics of possible purchasers.

scholarly journals Answering the Min-Cost Quality-Aware Query on Multi-Sources in Sensor-Cloud Systems

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4486 ◽  
Author(s):  
Mohan Li ◽  
Yanbin Sun ◽  
Yu Jiang ◽  
Zhihong Tian
Keyword(s):  
Low Cost ◽  
Real Life ◽  
Quality Data ◽  
Parameter Setting ◽  
Multiple Sources ◽  
High Quality ◽  
High Quality Data ◽  
Real Life Data ◽  
Sensor Cloud

In sensor-based systems, the data of an object is often provided by multiple sources. Since the data quality of these sources might be different, when querying the observations, it is necessary to carefully select the sources to make sure that high quality data is accessed. A solution is to perform a quality evaluation in the cloud and select a set of high-quality, low-cost data sources (i.e., sensors or small sensor networks) that can answer queries. This paper studies the problem of min-cost quality-aware query which aims to find high quality results from multi-sources with the minimized cost. The measurement of the query results is provided, and two methods for answering min-cost quality-aware query are proposed. How to get a reasonable parameter setting is also discussed. Experiments on real-life data verify that the proposed techniques are efficient and effective.

Neural Networks for Influence Analysis on the Quality of Potatoes

2001 ◽  
Vol 34 (26) ◽  
pp. 43-47
Author(s):  
Sascha Richter ◽  
Klaus Gottschalk ◽  
Erhard Konrad
Keyword(s):  
Neural Networks ◽  
Influence Analysis

scholarly journals MURAME parameter setting for creditworthiness evaluation: data-driven optimization

2021 ◽  
Author(s):  
Marco Corazza ◽  
Giovanni Fasano ◽  
Stefania Funari ◽  
Riccardo Gusso
Keyword(s):  
Optimization Problem ◽  
Balance Sheet ◽  
Data Driven ◽  
Mathematical Programming Problem ◽  
Parameter Setting ◽  
Constrained Optimization Problem ◽  
Numerical Experience ◽  
Evolutionary Metaheuristic ◽  
Preference Disaggregation

AbstractIn this paper, we amend a multi-criteria methodology known as MURAME, to evaluate the creditworthiness of a large sample of Italian Small and Medium-sized Enterprises, using as input their balance sheet data. This methodology produces results in terms of scoring and of classification into homogeneous rating classes. A distinctive goal of this paper is to consider a preference disaggregation method to endogenously determine some parameters of MURAME, by solving a nonsmooth constrained optimization problem. Because of the complexity of the involved mathematical programming problem, for its solution we use an evolutionary metaheuristic, coupled with a specific efficient initialization. This is combined with an unconstrained reformulation of the problem, which provides a reasonable compromise between the quality of the solution and the computational burden. An extensive numerical experience is reported, comparing an exogenous choice of MURAME parameters with our approach.

Supplementary Setting of Target Flatness Curves for 1450 Strip Cold Rolling Mill

2014 ◽  
Vol 633-634 ◽  
pp. 800-803
Author(s):  
Hai Zhou ◽  
Jin Lan Bai
Keyword(s):  
Cold Rolling ◽  
Orthogonal Polynomials ◽  
Rolling Mill ◽  
Temperature Compensation ◽  
Parameter Setting ◽  
Cold Rolling Mill ◽  
Actual Production ◽  
Original Target ◽  
Flatness Control

In this paper, for the original target flatness curves of flatness control system of a 1450 cold rolling mill can't satisfy the actual production, parameter setting method is adopted to the supplementary setting of target flatness curves. Based on the analysis of the several common forms of orthogonal polynomials, Legendre orthogonal polynomials are selected in supplementary setting according to the actual flatness. Considering temperature compensation, recoiling compensation, edge compensation, and comprehensive control of flatness and crown, 18 supplementary setting target flatness curves is determined aimed at typical product of the mill. Actual production shows that after the supplementary setting target flatness curves put into use, the flatness quality of the product has improved significantly.

scholarly journals An Integrated Model for the Harvest, Storage, and Distribution of Perishable Crops

2021 ◽  
Vol 11 (15) ◽  
pp. 6855
Author(s):  
Giovanni Giallombardo ◽  
Giovanni Mirabelli ◽  
Vittorio Solina
Keyword(s):  
Real Life ◽  
Cost Savings ◽  
Parameter Setting ◽  
Food Supply Chains ◽  
Production And Distribution ◽  
Distribution Phase ◽  
Multi Level ◽  
Effectiveness And Efficiency ◽  
Significant Opportunity

Coordination of the production and distribution activities represents a significant opportunity to cut costs and limit waste in the food supply chains. In this paper, we propose two mathematical models. The first one aims to integrate the harvesting, storage, and distribution activities of an agricultural company dealing with perishable products. The second one promotes horizontal collaboration between heterogeneous agri-companies for the distribution phase, in order to achieve cost savings. Computational experiments, conducted on a set of real-life instances, confirm the effectiveness and efficiency of the proposed models, which provide multi-level support. At the tactical level, managerial insights suggest the most profitable parameter setting, in terms of harvesting frequency and quality of service. At the operational level, the use of a heuristic framework can support the decision-making of the companies, suggesting when collaboration is profitable.

scholarly journals Defining an Optimized Machine Process Sequence to Address Broken Wafer Phenomenon on Semiconductor Products

2021 ◽  
pp. 38-44
Author(s):  
Jerome J. Dinglasan
Keyword(s):  
Statistical Analysis ◽  
Silicon Wafer ◽  
Robot Arm ◽  
Machine Parameter ◽  
Parameter Setting ◽  
Machine Process ◽  
Process Yield ◽  
Manufacturing Plants ◽  
Process Sequence ◽  
Wafer Processing

Silicon wafer as a direct material is one of the vital parts of a semiconductor product. Wastages on manufacturing plants that pulls the yield down should be addressed innovatively and accurately. This paper focused on the phenomenon of broken wafers at wafer taping process during wafer preparation. Using a wafer taper machine, silicon wafers are covered by an industrial tape as preparation for the next process. During processing and wafers are placed on wafer boat, unexpected phenomenon of broken wafers due to unwanted falling was encountered. Findings was due to the unintentional dragging of the machine’s robot arm after wafer processing. The problem is resolved through simulation and experiments using statistical analysis. As a result, an optimized machine parameter setting was defined to eliminate the said rejection. Statistical analysis was of a big help in resolving the said phenomenon and improved the process yield of the manufacturing.

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