The Chemical Product Simulator – ProCAPD

2017 ◽  
pp. 979-984 ◽  
Author(s):  
Sawitree Kalakul ◽  
Mario R. Eden ◽  
Rafiqul Gani
Keyword(s):  
Chemical Product

Author response for "Chemical product design integrating MCDA : Performance prediction and human preferences modelling"

2020 ◽  
Author(s):  
Oscar Yesid Suárez Palacios ◽  
Paulo César Narváez Rincón ◽  
Mauricio Camargo ◽  
Jean‐Pierre Corriou ◽  
Christian Fonteix
Keyword(s):  
Product Design ◽  
Performance Prediction ◽  
Author Response ◽  
Chemical Product ◽  
Chemical Product Design

scholarly journals CFD Simulation of Solid Suspension for a Liquid–Solid Industrial Stirred Reactor

2021 ◽  
Vol 11 (12) ◽  
pp. 5705
Author(s):  
Adrian Stuparu ◽  
Romeo Susan-Resiga ◽  
Alin Bosioc
Keyword(s):  
Chemical Reaction ◽  
Cfd Simulation ◽  
Simulation Analysis ◽  
Solid Phase ◽  
Initial Conditions ◽  
Chemical Reactor ◽  
Liquid Mixtures ◽  
Multiphase Model ◽  
Chemical Product ◽  
Two Phase

The present study examines the possibility of using an industrial stirred chemical reactor, originally employed for liquid–liquid mixtures, for operating with two-phase liquid–solid suspensions. It is critical when obtaining a high-quality chemical product that the solid phase remains suspended in the liquid phase long enough that the chemical reaction takes place. The impeller was designed for the preparation of a chemical product with a prescribed composition. The present study aims at finding, using a numerical simulation analysis, if the performance of the original impeller is suitable for obtaining a new chemical product with a different composition. The Eulerian multiphase model was employed along with the renormalization (RNG) k-ε turbulence model to simulate liquid–solid flow with a free surface in a stirred tank. A sliding-mesh approach was used to model the impeller rotation with the commercial CFD code, FLUENT. The results obtained underline that 25% to 40% of the solid phase is sedimented on the lower part of the reactor, depending on the initial conditions. It results that the impeller does not perform as needed; hence, the suspension time of the solid phase is not long enough for the chemical reaction to be properly completed.

New Data Bank on Toxicological Properties of Chemical Product

1983 ◽  
Vol 18 ◽  
pp. 59
Author(s):  
Marc. Baril
Keyword(s):  
Data Bank ◽  
Chemical Product

Chemical Product Engineering: Research and Educational Challenges

2002 ◽  
Vol 80 (1) ◽  
pp. 65-74 ◽  
Author(s):  
E. Favre ◽  
L. Marchal-Heusler ◽  
M. Kind
Keyword(s):  
Chemical Product ◽  
Engineering Research ◽  
Educational Challenges ◽  
Product Engineering

Triggers for Chemical Product Design: A Systematic Literature Review

AIChE Journal ◽  
2022 ◽  
Author(s):  
Jose Luis Rivera Gil ◽  
Juliana Serna ◽  
Javier A. Arrieta‐Escobar ◽  
Paulo César Narváez Rincón ◽  
Vincent Boly ◽  
...  
Keyword(s):  
Literature Review ◽  
Product Design ◽  
Systematic Literature Review ◽  
Chemical Product ◽  
Chemical Product Design

Business survival and market performance through Lean Six Sigma in the chemical manufacturing industry

2019 ◽  
Vol 10 (2) ◽  
pp. 566-600 ◽  
Author(s):  
Peter Muganyi ◽  
Ignatio Madanhire ◽  
Charles Mbohwa
Keyword(s):  
Continuous Improvement ◽  
Six Sigma ◽  
Market Performance ◽  
Lean Six Sigma ◽  
Chemical Product ◽  
Business Survival ◽  
Content Type ◽  
Chemical Manufacturing ◽  
Product Manufacturing

Purpose The research paper aims to unveil the practical use of Lean Six Sigma and its effectiveness as a business survival strategic tool by a chemical product realization concern, as well as to establish the market and business performance impacts on the manufacturing entity. Design/methodology/approach A case study approach was pursued with a multi-national chemical manufacturing entity in South Africa. A comprehensive literature research was undertaken to establish the contemporary tools used for implementing Lean Six Sigma, and the classification and flow of tools and steps undertaken to ensure the successful and effective application of Lean Six Sigma in a manufacturing organization and the benefits derived. The critical success factors and reasons of ineffective use of tools are reviewed. To ensure that a comprehensive research was conducted which is relevant to the body of knowledge in engineering, recent articles on the application of Lean Six Sigma were selected and reviewed during the progress of the study to add impetus to the relevance of the findings. Findings The research findings were mainly based on the inferences obtained from a chemical product manufacturing concern in South Africa, to distinguish the efficacy and relevance of Lean Six Sigma as strategic business survival tool and imputing strategic resonance to corporate strategy. Research limitations/implications This research was limited to distinguishing Lean Six Sigma as a business survival strategic tool and an ultimate enhancer of market performance for a chemical product manufacturing entity. The implementation and evaluation of the Lean Six Sigma methodology as a business survival strategic and market performance enhancement option for the case study organization was entailed as the corollary of deductive resemblance to similar entities. Practical implications This study enables continuous improvement practitioners to evaluate the Lean and Six Sigma practices. The advantages posed by the simultaneous and optimized application of the two approaches versus individual application were assessed and verified to produce enhanced continuous improvement. This poses further challenges to scholars and academics to pursue further researches on the practicality of applying Lean Six Sigma as a strategic option. Originality/value The paper prompts the efficacy of well publicized methodologies and evaluates their implementation for strategic performance for manufacturing organizations. The practical application, constraints and resultant effects of deploying Lean Six Sigma were reviewed to give impetus to the methodology.

Material properties and processing in chemical product design

2012 ◽  
Vol 1 (4) ◽  
pp. 459-464 ◽  
Author(s):  
F Picchioni ◽  
AA Broekhuis
Keyword(s):  
Product Design ◽  
Material Properties ◽  
Chemical Product ◽  
Chemical Product Design

scholarly journals MODEL ABC MULTI-CRITERIA INVENTORY CLASSIFICATION (MCIC) MENGGUNAKAN PEMROGRAMAN LINEAR PADA PRODUK KIMIA

2019 ◽  
Vol 3 (2) ◽  
pp. 106-118
Author(s):  
Eko Pratomo (Politeknik APP - Indonesia)
Keyword(s):  
Linear Programming ◽  
Lead Time ◽  
Multiple Criteria ◽  
Traditional Model ◽  
Abc Model ◽  
Linear Programming Method ◽  
Inventory Policies ◽  
Chemical Product ◽  
Class A ◽  
Class B

Abstract In order to maintain their inventory efficiently, enterprises need to prioritize inventory policies considering multiple criteria. A Multi Criteria Inventory Classification (MCIC) is one of the most effective techniques widely used to classify inventory. In this paper, multiple criteria (annual value, lead time, cost per unit) are considered on ABC inventory classification. The aim of this study is classify products considering those multiple criteria. Multiple criteria ABC Classifications methodology developed by Ramanathan-Model and Ng-Model are used and compared with traditional method. Data are collected from annual chemical product transaction on PT XYZ during 2018. In this paper, linear programming method is used to solve ABC MCIC Model. The result of this study show that 12 items (14%) are identified as Class A, 26 items (30%) as class B and the remaining 48 items (56%) as C Class. In our conclution, we propose inventory policies based on the result of the ABC Models. Keywords: ABC Model; MCIC; Traditional Model; Ramanathan-Model; Ng-Model; Linear Programming; Chemical Product.Abstrak Dalam mengelola persediaan secara efisien, perusahaan perlu menentukan prioritas pengelolaan persediaan dengan mempertimbangkan beberapa kriteria. Klasifikasi ABC Multi Kriteria (MCIC) merupakan model klasifikasi persediaan barang yang umum digunakan oleh perusahaan dalam mengelola persediaan dalam jumlah besar. Penelitian ini menggunakan multi kriteria berupa nilai total produk, lead time dan biaya per unit. Tujuan penelitian adalah mengelompokan jenis/kelas barang sesuai dengan tingkat kepentingan dengan mempertimbangkan multi kriteria.  Metode Multi kriteria yang telah dikembangkan oleh Ramanathan-Model dan Ng-Model dibandingkan dengan hasil klasifikasi Single criteria ABC (Traditional model). Data yang digunakan adalah data tahunan transaksi produk kimia PT XYZ di tahun 2018. Penyelesaian model ABC multi kriteria (MCIC) dengan pemrograman linear. Terdapat 86 items produk kimia yang diklasifikasikan dengan hasil klasifikasi A sejumlah 12 item (14%), B sejumlah 26 item (30%) dan item C sejumlah 48 item (56%). Pada penelitan ini juga disampaikan kebijakan inventory masing-masing kelas berdasarkan hasil klasifikasi ABC model yang telah dilakukan.Kata Kunci: Model ABC; MCIC; Model tradisional; Model Ramanathan; Model Ng; Pemrograman Linear; Produk kimia.

scholarly journals Volatile Chemical Product Enhancements to Criteria Pollutants in the United States

2021 ◽  
Author(s):  
Karl M. Seltzer ◽  
Benjamin N. Murphy ◽  
Elyse A. Pennington ◽  
Chris Allen ◽  
Kevin Talgo ◽  
...  
Keyword(s):  
United States ◽  
The United States ◽  
Chemical Product ◽  
Criteria Pollutants
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