Computer-aided design of fiber reinforced polymer composite products

Vaidyanathan, Ragavan; Gowayed, Yasser; El‐Halwagi, Mahmoud M.

doi:10.1016/s0098-1354(97)00260-3

Cited by 16 publications

(10 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of them include design of solvents [275,277,[283][284][285][286][287][288][289], refrigerants [278,279,[290][291][292], polymers [293][294][295][296][297], and pharmaceutical products [298,299].…”

Section: Molecular Computingmentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

View full text Add to dashboard Cite

This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in process systems engineering (PSE). A review on the main deterministic MINLP solution methods is presented, including an overview of the main MINLP solvers. Generalized disjunctive programming (GDP) is an alternative higher-level representation of MINLP problems. This work reviews some methods for solving GDP models, and techniques for improving MINLP methods through GDP. The paper also provides a high-level review of the applications of MINLP in PSE, particularly in process synthesis, planning and scheduling, process control and molecular computing.

show abstract

Section: Molecular Computingmentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

View full text Add to dashboard Cite

show abstract

“…Constraint (19) forces at least two groups in the graph to have different neighbors than they had in all previous structures, thus eliminating redundant isomers. These nonlinear cuts can be readily linearized at the expense of introducing additional variables.…”

Section: Handling Redundancymentioning

confidence: 99%

“…The complete structure generation problem is defined by constraints (10)- (16), along with the uniqueness cut (17) and the redundancy cut (19). The model is implemented in GAMS and solved using BARON.…”

Section: Handling Redundancymentioning

confidence: 99%

Optimization‐based framework for computer‐aided molecular design

Samudra

Sahinidis

2013

AIChE Journal

View full text Add to dashboard Cite

A new framework to automate, augment, and accelerate steps in computer-aided molecular design is presented. The problem is tackled in three stages: (1) composition design, (2) structure determination, and (3) extended design. Composition identification and structure determination are decoupled to achieve computational efficiency. Using approximate group-contribution methods in the first stage, molecular compositions that fit design targets are identified. In the second stage, isomer structures of solution compositions are determined systematically, and structure-based property corrections are used to refine the solution pool. In the final stage, the design is extended beyond the scope of group-contribution methods by using problem-specific property models. At each design stage, novel optimization models and graph theoretic algorithms generate a large and diverse pool of candidates using an assortment of property models. The wide applicability and computational efficiency of the proposed methodology are illustrated through three case studies.

show abstract

“…Many researchers used local and global constrained optimization techniques to design composite materials and structures. In practice, local optimizers search for a n optimum solution and stops when a solution is found without exhausting all possible solutions within a defined domain (22)(23)(24)(25)(26). Some researchers extended the search to include all possible solutions within a defined domain-global optimization (27,28).…”

Section: Nonlinear Optimizationmentioning

confidence: 99%

Optimal design of multi‐direction composite flywheel rotors

et al. 2002

Self Cite

View full text Add to dashboard Cite

Design of composite flywheels made with reinforcement in the hoop and radial directions (Multiple Direction Composites MDC) involves a large multitude of parameters such as those related to the flywheel operation, flywheel geometry, material characteristics, material layup, and stress spatial distribution and values. The problem is further complicated because most design parameters are interactive and because one parameter cannot be optimized independent of the other parameters. Optimum structural design of MDC flywheels using nonlinear optimization via a sequential quadratic programrmn * g approach and parametric k i t e element analysis are used to address this problem. Numerical examples are solved to compare the efficacy of the two approaches.

show abstract

Computer-aided design of fiber reinforced polymer composite products

Cited by 16 publications

References 4 publications

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Optimization‐based framework for computer‐aided molecular design

Optimal design of multi‐direction composite flywheel rotors

Contact Info

Product

Resources

About