Successive Optimal Design Procedure Applied on Conventional Fuel Injection Equipment

1996 ◽  
Vol 118 (4) ◽  
pp. 490-493 ◽  
Author(s):  
B. Kegl
Keyword(s):  
High Pressure ◽  
Optimal Design ◽  
Design Problem ◽  
Fuel Injection ◽  
Design Parameters ◽  
Optimal Design Problem ◽  
Injection Equipment ◽  
Design Variables ◽  
Discrete Design Variables ◽  
Conventional Fuel

The paper describes a procedure of solving an optimal design problem with continuous/discrete design variables. The procedure is applied to a set of design parameters of a conventional fuel injection equipment for a diesel engine. The design parameters concern the design of the cam, high pressure pump, delivery valve, snubber valve, high pressure tube and injector. By the proposed procedure the continuous/discrete optimal design problem is replaced by a finite sequence of auxiliary problems where all design variables are treated as continuous. After solving each auxiliary problem one of the discrete design variables is set equal to the closest available discrete value and eliminated from the set of design variables. This process does not guarantee that an optimal solution to the continuous/integer programming problem is located; however it does produce improved near optimal designs for conventional fuel injection equipment. The proposed procedure is illustrated with a numerical example.

Optimal Design of Conventional In-Line Fuel Injection Equipment

1995 ◽  
Vol 209 (2) ◽  
pp. 135-141 ◽  
Author(s):  
B Kegl
Keyword(s):  
High Pressure ◽  
Optimal Design ◽  
Objective Function ◽  
Fuel Injection ◽  
Design Procedure ◽  
Injection Rate ◽  
Design Parameters ◽  
Special Treatment ◽  
Mathematical Programming Problem ◽  
Injection Equipment

The paper describes an application of optimal design procedure employed on conventional in-line fuel injection equipment for a diesel engine. The procedure is applied to a set of design parameters concerning the design of the cam, high-pressure pump, delivery valve, snubber valve, high-pressure tube and injector respectively. The values of these design parameters are optimized simultaneously within specified maximum and minimum values in order to approach a target injection rate history. The proposed optimal design procedure is defined as a solution process of a non-linear mathematical programming problem defined by the objective and constraint functions. The objective function measures the difference between the target and actual injection rate histories while the constraints concern the response of the system as well as several technological limitations. The form of the objective function is such that it requires special treatment similar to those employed in optimal design of dynamic multi-body systems. However, the complexity of the fuel injection equipment causes specific numerical difficulties when the ideas employed for dynamic systems are adopted. The paper describes how to modify the usual approach in order to circumvent these difficulties. The theory is illustrated with a numerical example comparing the usual versus the modified approach.

scholarly journals Regularity results for an optimal design problem with a volume constraint

2014 ◽  
Vol 20 (2) ◽  
pp. 460-487 ◽  
Author(s):  
Menita Carozza ◽  
Irene Fonseca ◽  
Antonia Passarelli di Napoli
Keyword(s):  
Optimal Design ◽  
Design Problem ◽  
Volume Constraint ◽  
Optimal Design Problem ◽  
Regularity Results

Existence and regularity for mixtures of micromagnetic materials

2006 ◽  
Vol 462 (2072) ◽  
pp. 2225-2243 ◽  
Author(s):  
Emilio Acerbi ◽  
Irene Fonseca ◽  
Giuseppe Mingione
Keyword(s):  
Optimal Design ◽  
Bounded Variation ◽  
Design Problem ◽  
Optimal Design Problem ◽  
New Model

A new model for the energy of a mixture of micromagnetic materials is introduced within the context of functions with special bounded variation. Existence and regularity for the solution of an optimal design problem in micromagnetics are obtained.

scholarly journals Optimal Design of Shape Memory Alloy Composite under Deflection Constraint

Materials ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 1733 ◽  
Author(s):  
Yogesh Gandhi ◽  
Alessandro Pirondi ◽  
Luca Collini
Keyword(s):  
Optimal Design ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Optimization Problem ◽  
Edge Length ◽  
Design Parameters ◽  
Stable Configuration ◽  
Alloy Composite ◽  
Bistable Behavior ◽  
Design Variables

Shape-adaptive or morphing capability in both aerospace structures and wind turbine blade design is regarded as significant to increase aerodynamic performance and simplify mechanisms by reducing the number of moving parts. The underlying bistable behavior of asymmetric cross-ply composites makes them a suitable candidate for morphing applications. To date, various theoretical and experiential studies have been carried out to understand and predict the bistable behavior of asymmetric laminates and especially the curvature obtained in their stable configurations. However, when the bi-stable composite plate is integrated with shape memory alloy wires to control the curvature and to snap from a stable configuration to the other (shape memory alloy composite, SMAC), the identification of the design parameters, namely laminate edge length, ply thickness and ply orientation, is not straightforward. The aim of this article is to present the formulation of an optimization problem for the parameters of an asymmetric composite laminate integrated with pre-stressed shape memory alloys (SMA) wires under bi-stability and a minimum deflection requirement. Wires are modeled as an additional ply placed at the mid-plane of the composite host plate. The optimization problem is solved numerically in MATLAB and optimal design variables are then used to model the SMAC in ABAQUS™. Finite element results are compared against numerical results for validation.

The Statement of Optimal Design Problem with the Cusp Catastrophe Theory Application

2014 ◽  
Vol 709 ◽  
pp. 530-533 ◽  
Author(s):  
Aleksandr Vasilyevich Pitukhin ◽  
Igor Skobtsov
Keyword(s):  
Optimal Design ◽  
Catastrophe Theory ◽  
Design Problem ◽  
Reliability Function ◽  
Function Evaluation ◽  
Statistical Linearization ◽  
Cusp Catastrophe ◽  
Optimal Design Problem ◽  
Linearization Methods ◽  
Theory Application

The purpose of this paper is to present the catastrophe theory method for the optimal design of machine components. A brief description of the cusp catastrophe is presented in the introduction. The statement of optimal design problem is given in the second part of the paper. A single criterion design is presented; the reliability function is used as the objective function. The last part is devoted to probability approach. Manage variables are viewed as stochastic quantities, analytical and statistical linearization methods are used for the reliability function evaluation.

Performance Analysis and Optimal Design of Heat Exchangers Used in a High Temperature and High Pressure System

2008 ◽  
Author(s):  
Byoung Ik Choi ◽  
Kui Soon Kim ◽  
Man Yeong Ha ◽  
Ji Hwan Jeong ◽  
Jong Rae Cho ◽  
...  
Keyword(s):  
High Pressure ◽  
High Temperature ◽  
Heat Exchanger ◽  
Optimal Design ◽  
Heat Exchangers ◽  
Pressure Loss ◽  
Pressure System ◽  
High Pressure System ◽  
Flow Type ◽  
Design Variables

A computational study for the optimal design of heat exchangers used in a high temperature and high pressure system is presented. Two types of air to air heat exchangers are considered in this study. One is a single-pass cross-flow type with straight plain tubes and the other is a two-pass cross-counter flow type with plain U-tubes. These two types of heat exchangers have the staggered arrangement of tubes. The design models are formulated using the number of transfer units (ε-NTU method) and optimized using a genetic algorithm. In order to design compact light weight heat exchangers with the minimum pressure loss and the maximum heat exchange rate, the weight of heat exchanger core is chosen as the object function. Dimensions and tube pitch ratio of a heat exchanger are used as design variables. Demanded performance such as the pressure loss (ΔP) and the temperature drop (ΔP) are used as constraints. The performance of heat exchangers is discussed and their optimal designs are presented with an investigation of the effect of design variables and constraints.

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