Author
D.E. Haskins
Bio: D.E. Haskins is an academic researcher from Humble Oil. The author has contributed to research in topics: Residence time distribution & Plug flow reactor model. The author has an hindex of 1, co-authored 1 publications receiving 21 citations.
Papers
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TL;DR: In this paper, the problem of determining the optimal reactor type as dictated by reaction kinetics is considered, and the problem is formulated such that the axial dispersion coefficient is chosen as a function of reactor residence time to optimize reactor performance.
22 citations
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TL;DR: In this paper, the synthesis problem of complex nonisothermal reaction networks is addressed, where the authors focus on developing a superstructure of alternatives for the non-isothermal reactor system, and subsequently formulate and solve the problem according to the proposed general structure.
185 citations
TL;DR: In this paper, a nonlinear programming (NLP) formulation for optimally generating reactor networks that would produce the desired effects, given a kinetic mechanism and expressions for the reaction rate is presented.
98 citations
TL;DR: In this paper, the problem of nuclear network synthesis is addressed, which involves determining the type, size, and interconnections of the reactor units, optimal concentration and temperature profiles, and the heat load requirements.
Abstract: The reactor network synthesis problem involves determining the type, size, and interconnections of the reactor units, optimal concentration and temperature profiles, and the heat load requirements ...
60 citations
TL;DR: In this article, a two-level stochastic optimization approach is proposed to target the performance of chemical reactors with the use of stochastically optimized configurations. But it is not restricted by the dimensionality or the size of the problem.
Abstract: A systematic methodology to target the performance of chemical reactors with the use of stochastic optimization is presented. The approach employs a two-level strategy where targets are followed by the proposition of reactor configurations that match or are near the desired performance. The targets can be used for synthesis and retrofit problems, as they can provide the incentives to modify the operation, and ideas in developing the reactor design. The application of stochastic optimization enables confidence in the optimization results, can afford particularly nonlinear reactor models, and is not restricted by the dimensionality or the size of the problem.
60 citations
TL;DR: In this article, the authors used the attainable region (AR) technique to solve the problem of particle breakage, separation, and mixing in the comminution process of particle size distribution (PSD).
52 citations