کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
174275 | 458645 | 2005 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Targeting optimum resource allocation using reverse problem formulations and property clustering techniques Targeting optimum resource allocation using reverse problem formulations and property clustering techniques](/preview/png/174275.png)
Decoupling the constitutive equations from the balance and constraint equations allows for reformulating a conventional forward problem into two reverse problems. The first reverse problem is the reverse of a simulation problem, where the process model is solved in terms of the constitutive (synthesis/design) variables instead of the process variables, thus providing the synthesis/design targets. The second reverse problem (reverse property prediction) solves the constitutive equations to identify unit operations, operating conditions and/or products by matching the synthesis/design targets. Visualization of the problem is achieved by employing recently developed property clustering techniques, which allows a high-dimensional problem to be visualized in two or three dimensions. The clusters by definition satisfy intra-stream and inter-stream conservation through linear “mixing” rules, which allows for the development of consistent additive rules along with their ternary representation.
Journal: Computers & Chemical Engineering - Volume 29, Issues 11–12, 15 October 2005, Pages 2304–2317