How do Formulation and Process Parameters Impact Blend and Unit Dose Uniformity? Further Analysis of the Product Quality Research Institute Blend Uniformity Working Group Industry Survey

2013 ◽  
Vol 102 (3) ◽  
pp. 982-986 ◽  
Author(s):  
Bruno C. Hancock ◽  
Salvador Garcia-Munoz
Keyword(s):  
Product Quality ◽  
Process Parameters ◽  
Working Group ◽  
Quality Research ◽  
Dose Uniformity ◽  
Blend Uniformity ◽  
Unit Dose ◽  
Industry Survey ◽  
Research Institute

scholarly journals Product Quality Research Institute evaluation of cascade impactor profiles of pharmaceutical aerosols: Part 2—Evaluation of a method for determining equivalence

2007 ◽  
Vol 8 (1) ◽  
pp. E39-E48 ◽  
Author(s):  
David Christopher ◽  
Wallace P. Adams ◽  
Douglas S. Lee ◽  
Beth Morgan ◽  
Ziqing Pan ◽  
...  
Keyword(s):  
Product Quality ◽  
Cascade Impactor ◽  
Pharmaceutical Aerosols ◽  
Quality Research ◽  
Research Institute

scholarly journals Product Quality Research Institute reports

2007 ◽  
Vol 8 (1) ◽  
pp. E49-E49 ◽  
Author(s):  
Patrick P. DeLuca ◽  
Svetlana Lyapustina
Keyword(s):  
Product Quality ◽  
Quality Research ◽  
Research Institute

scholarly journals Product Quality Research Institute evaluation of cascade impactor profiles of pharmaceutical aerosols, part 1: Background for a statistical method

2007 ◽  
Vol 8 (1) ◽  
pp. E32-E37 ◽  
Author(s):  
Wallace P. Adams ◽  
David Christopher ◽  
Douglas S. Lee ◽  
Beth Morgan ◽  
Ziqing Pan ◽  
...  
Keyword(s):  
Product Quality ◽  
Statistical Method ◽  
Cascade Impactor ◽  
Pharmaceutical Aerosols ◽  
Quality Research ◽  
Research Institute

scholarly journals Optimization of injection molding process for car fender in consideration of energy efficiency and product quality

2014 ◽  
Vol 1 (4) ◽  
pp. 256-265 ◽  
Author(s):  
Hong Seok Park ◽  
Trung Thanh Nguyen
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Injection Molding ◽  
Product Quality ◽  
Process Parameters ◽  
Optimization Problems ◽  
Computational Cost ◽  
Injection Molding Process ◽  
Molding Process ◽  
Nsga Ii

Abstract Energy efficiency is an essential consideration in sustainable manufacturing. This study presents the car fender-based injection molding process optimization that aims to resolve the trade-off between energy consumption and product quality at the same time in which process parameters are optimized variables. The process is specially optimized by applying response surface methodology and using nondominated sorting genetic algorithm II (NSGA II) in order to resolve multi-object optimization problems. To reduce computational cost and time in the problem-solving procedure, the combination of CAE-integration tools is employed. Based on the Pareto diagram, an appropriate solution is derived out to obtain optimal parameters. The optimization results show that the proposed approach can help effectively engineers in identifying optimal process parameters and achieving competitive advantages of energy consumption and product quality. In addition, the engineering analysis that can be employed to conduct holistic optimization of the injection molding process in order to increase energy efficiency and product quality was also mentioned in this paper.

scholarly journals Proceedings of the Second Meeting of the EURO Working group on Operational Research (OR) in Agriculture and Forest Management

2006 ◽  
Vol 144 (5) ◽  
pp. 467-472 ◽  
Author(s):  
L. M. PLÀ
Keyword(s):  
Forest Management ◽  
Research Methods ◽  
Working Group ◽  
European Association ◽  
Operational Research ◽  
Agricultural Science ◽  
Or In Agriculture ◽  
The University ◽  
Broad Meaning ◽  
Research Institute

This working group, which is concerned with operational research methods and applications to agricultural science in its broad meaning (i.e. including Forest Management and Fisheries), was formed in 2003 within the European Association of Operational Research Societies (EURO). The first meeting of the group was held at the former Silsoe Research Institute two years ago. The next meeting will be held in 2007 within the XXII EURO Conference in Prague. The group intends to start regular meetings at approximately yearly intervals in association with the EURO Conferences. The second meeting of the working group, chaired by Dr. L. M. Plà of the University of Lleida and organized as a stream within the XXI EURO Conference, was held at the University of Iceland in Reykjavík from 3rd–5th July 2006 where the following papers were read.

Learning Algorithm Based Modeling and Process Parameters Recommendation System for Binder Jetting Additive Manufacturing Process

2015 ◽  
Author(s):  
Han Chen ◽  
Yaoyao F. Zhao
Keyword(s):  
Additive Manufacturing ◽  
Product Quality ◽  
Process Parameters ◽  
Manufacturing Process ◽  
Process Model ◽  
Recommendation System ◽  
Powder Materials ◽  
Quality Properties ◽  
Binder Jetting ◽  
Printing Time

Binder Jetting (BJ) process is an additive manufacturing process in which powder materials are selectively joined by binder materials. Products can be manufactured layer by layer directly from 3D model data. It is not always easy for manufacturing engineers to choose proper BJ process parameters to meet the end-product quality and fabrication time requirements. This is because the quality properties of the products fabricated by BJ process are significantly affected by the process parameters. And the relationships between process parameters and quality properties are very complicated. In this paper, a process model is developed by Backward Propagation (BP) Neural Network (NN) algorithm based on 16 groups of orthogonal experiment designed by Taguchi Method to express the relationships between 4 key process parameters and 2 key quality properties. Based on the modeling results, an intelligent parameters recommendation system is developed to predict end-product quality properties and printing time, and to recommend process parameters selection based on the process requirements. It can be used as a guideline for selecting the proper printing parameters in BJ to achieve the desired properties and help to reduce the printing time.

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