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A systematic computer-aided product design and development procedure / Navid Omidbakhsh in Industrial & engineering chemistry research, Vol. 51 N° 45 (Novembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 45 (Novembre 2012) . - pp. 14925-14934 Titre : A systematic computer-aided product design and development procedure : Case of disinfectant formulations Type de document : texte imprimé Auteurs : Navid Omidbakhsh, Auteur ; Thomas A. Duever, Auteur ; Ali Elkamel, Auteur Année de publication : 2013 Article en page(s) : pp. 14925-14934 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Product  development  Computer  aid Résumé : Product formulation design involves selecting a few ingredients from a large set through screening based on several criteria, and using the optimal proportion in the formulation. The limitation in the traditional strategy for chemical product formulation design is to carry out a large number of trials, which in most practical cases, is either economically infeasible or a very slow process. Furthermore, the presence of constraints, sometimes contradictory to some extent, further complicates the formulation design process. Such traditional trial-and-error and one-factor-at-a-time methodologies can be very cumbersome. They can also lead to a slow and high-cost process. The outcome of following such techniques does not usually lead to optimal designs. In this work, a methodology that deals with the complexity of product formulation design problem with contradictory constraints is presented and illustrated in a real case study. This methodology starts with defining needs for a new product and generating ideas. It then screens the candidate ingredients, using design of experiment techniques, and develops a model for each response. It then inverts the models using a nonlinear optimization technique, and obtains an optimal design for the product based on the desired properties. This methodology is proven to be more effective, faster, and less expensive in the development of new products or improvements on the existing ones. Furthermore, the final product is an optimal formulation, with respect to a preset performance measure and desired properties. The procedure is illustrated and tested on the case of disinfectant formulations. The optimized formulation was prepared, tested, and compared to an existing formulation. The optimized formulation faired significantly better than the existing product, in terms of technical and economic preference. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26620405 [article] A systematic computer-aided product design and development procedure : Case of disinfectant formulations [texte imprimé] / Navid Omidbakhsh, Auteur ; Thomas A. Duever, Auteur ; Ali Elkamel, Auteur . - 2013 . - pp. 14925-14934. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 45 (Novembre 2012) . - pp. 14925-14934 Mots-clés : Product  development  Computer  aid Résumé : Product formulation design involves selecting a few ingredients from a large set through screening based on several criteria, and using the optimal proportion in the formulation. The limitation in the traditional strategy for chemical product formulation design is to carry out a large number of trials, which in most practical cases, is either economically infeasible or a very slow process. Furthermore, the presence of constraints, sometimes contradictory to some extent, further complicates the formulation design process. Such traditional trial-and-error and one-factor-at-a-time methodologies can be very cumbersome. They can also lead to a slow and high-cost process. The outcome of following such techniques does not usually lead to optimal designs. In this work, a methodology that deals with the complexity of product formulation design problem with contradictory constraints is presented and illustrated in a real case study. This methodology starts with defining needs for a new product and generating ideas. It then screens the candidate ingredients, using design of experiment techniques, and develops a model for each response. It then inverts the models using a nonlinear optimization technique, and obtains an optimal design for the product based on the desired properties. This methodology is proven to be more effective, faster, and less expensive in the development of new products or improvements on the existing ones. Furthermore, the final product is an optimal formulation, with respect to a preset performance measure and desired properties. The procedure is illustrated and tested on the case of disinfectant formulations. The optimized formulation was prepared, tested, and compared to an existing formulation. The optimized formulation faired significantly better than the existing product, in terms of technical and economic preference. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26620405

Systematic statistical-based approach for product design / Navid Omidbakhsh in Industrial & engineering chemistry research, Vol. 49 N° 1 (Janvier 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 1 (Janvier 2010) . - pp. 204–209 Titre : Systematic statistical-based approach for product design : application to disinfectant formulations Type de document : texte imprimé Auteurs : Navid Omidbakhsh, Auteur ; Thomas A. Duever, Auteur ; Ali Elkamel, Auteur Année de publication : 2010 Article en page(s) : pp. 204–209 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Systematic--statistical-based--approach--product--design--application--disinfectant--formulations Résumé : Product formulation development is a difficult and challenging task. The challenges include modeling complex systems and chemicals. Various tests are performed, often on a trial and error basis, to evaluate the performance of the prototypes in the product development process. These tests can be very expensive and time-consuming. A methodology is presented to shorten the product development time and reduce the costs given a database of historical data. It is based on augmenting the existing data set through designed experiments. An empirical model is first developed by analyzing the augmented data set using least-squares regression analysis. The model is then inverted by using an optimization technique, and the product formulation can be predicted on the basis of the desired product specifications. An iterative, sequential approach is employed in which the knowledge gained at each stage is applied in a systematic manner to design further experiments so that the future efforts will need fewer trials. This methodology is illustrated by a case study of disinfectant formulations and is proven to be superior to conventional formulation design methods. These disinfectant formulations consist of primarily water and small amounts of surfactants, oxidizing agents, chelating agents, pH buffers, and pH adjusters and consequently the resulting products are clear liquids. Although the methodology is illustrated on disinfectant product development, it is introduced in this paper in a general way and can be implemented in other applications. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900196u [article] Systematic statistical-based approach for product design : application to disinfectant formulations [texte imprimé] / Navid Omidbakhsh, Auteur ; Thomas A. Duever, Auteur ; Ali Elkamel, Auteur . - 2010 . - pp. 204–209. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 1 (Janvier 2010) . - pp. 204–209 Mots-clés : Systematic--statistical-based--approach--product--design--application--disinfectant--formulations Résumé : Product formulation development is a difficult and challenging task. The challenges include modeling complex systems and chemicals. Various tests are performed, often on a trial and error basis, to evaluate the performance of the prototypes in the product development process. These tests can be very expensive and time-consuming. A methodology is presented to shorten the product development time and reduce the costs given a database of historical data. It is based on augmenting the existing data set through designed experiments. An empirical model is first developed by analyzing the augmented data set using least-squares regression analysis. The model is then inverted by using an optimization technique, and the product formulation can be predicted on the basis of the desired product specifications. An iterative, sequential approach is employed in which the knowledge gained at each stage is applied in a systematic manner to design further experiments so that the future efforts will need fewer trials. This methodology is illustrated by a case study of disinfectant formulations and is proven to be superior to conventional formulation design methods. These disinfectant formulations consist of primarily water and small amounts of surfactants, oxidizing agents, chelating agents, pH buffers, and pH adjusters and consequently the resulting products are clear liquids. Although the methodology is illustrated on disinfectant product development, it is introduced in this paper in a general way and can be implemented in other applications. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900196u