Optimisation of Design and Operation Parameters for Multicomponent Separation via Improved Lewis-Matheson Method

2017 ◽  
Vol 12 (4) ◽  
Author(s):  
Ching Ching Tiong ◽  
Jobrun Nandong
Keyword(s):  
Design Procedure ◽  
Problem Formulation ◽  
Computational Time ◽  
Separation And Purification ◽  
Efficient Design ◽  
Feed Composition ◽  
Design And Optimization ◽  
Purification Technique ◽  
Stage Matching ◽  
Matching Criteria

AbstractDistillation is the most commonly used separation and purification technique in the chemical and allied industries despite that it has been known as the most energy-consuming unit in process industry. The need to reduce this energy consumption has become one of the important focuses in the efficient design and optimization of distillation processes. In the present work, we propose an improved Lewis-Matheson stage-by-stage procedure by incorporating the Fenske equation to enhance the estimation of the non-key component distributions, and thus avoiding infeasible solutions to the stage-by-stage system of equations of mass and energy balances. A modified theta method is also included in the design procedure to satisfy the feed stage matching criteria which help reduces the computational time while increasing the accuracy of feed composition matching. By using the proposed modified Lewis-Matheson method, an optimization is conducted in Matlab environment where the problem formulation takes into account both sets of design and operating parameters with specified product purity as the constraint. The objective function of the optimization is to minimize the Total Annualized Cost (TAC), which includes both capital and operating costs. The effectiveness of the proposed design procedure is demonstrated using an industrial-scale natural gas liquids (NGLs) depropanizer fractionation unit.

Error-aware Design Procedure to Implement Energy-efficient Approximate Squaring Hardware

2020 ◽  
Vol 10 (4) ◽  
pp. 471-477
Author(s):  
Merin Loukrakpam ◽  
Ch. Lison Singh ◽  
Madhuchhanda Choudhury
Keyword(s):  
Energy Saving ◽  
Relative Error ◽  
Energy Efficient ◽  
Piecewise Linear ◽  
Arithmetic Operation ◽  
Design Procedure ◽  
Digital Signal ◽  
Maximum Relative Error ◽  
Square Function ◽  
Efficient Design

Background:: In recent years, there has been a high demand for executing digital signal processing and machine learning applications on energy-constrained devices. Squaring is a vital arithmetic operation used in such applications. Hence, improving the energy efficiency of squaring is crucial. Objective:: In this paper, a novel approximation method based on piecewise linear segmentation of the square function is proposed. Methods: Two-segment, four-segment and eight-segment accurate and energy-efficient 32-bit approximate designs for squaring were implemented using this method. The proposed 2-segment approximate squaring hardware showed 12.5% maximum relative error and delivered up to 55.6% energy saving when compared with state-of-the-art approximate multipliers used for squaring. Results: The proposed 4-segment hardware achieved a maximum relative error of 3.13% with up to 46.5% energy saving. Conclusion:: The proposed 8-segment design emerged as the most accurate squaring hardware with a maximum relative error of 0.78%. The comparison also revealed that the 8-segment design is the most efficient design in terms of error-area-delay-power product.

Self-assembly with colloidal clusters: facile crystal design using connectivity landscape analysis

Soft Matter ◽  
2017 ◽  
Vol 13 (39) ◽  
pp. 7098-7105 ◽  
Author(s):  
Mehdi B. Zanjani ◽  
John C. Crocker ◽  
Talid Sinno
Keyword(s):  
Self Assembly ◽  
Landscape Analysis ◽  
Efficient Design ◽  
Geometrical Analysis ◽  
Design And Optimization ◽  
Colloidal Clusters ◽  
Crystal Design

Geometrical analysis of connectivity enables efficient design and optimization of colloidal cluster assemblies.

scholarly journals A New Design Procedure for Rotor Laminations of Synchronous Reluctance Machines with Fluid Shaped Barriers

Electronics ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 134
Author(s):  
Federica Uberti ◽  
Lucia Frosini ◽  
Loránd Szabó
Keyword(s):  
Finite Element ◽  
Design Procedure ◽  
Optimization Procedure ◽  
Torque Ripple ◽  
Stator Winding ◽  
Post Processing ◽  
Processing Stage ◽  
Synchronous Reluctance Machine ◽  
Design And Optimization ◽  
Reluctance Machine

A new procedure for the design and optimization of the rotor laminations of a synchronous reluctance machine is presented in this paper. The configuration of the laminations is symmetrical and contains fluid-shaped barriers. The parametrization principle is used, which executes variations in the lamination geometry by changing the position, thickness and shape of the flux barriers. Hence, the optimization procedure analyzes the various configurations through finite element simulations, by means of the communication between MATLAB and Flux 2D. In the post processing stage, the best geometry which optimizes mean torque, torque ripple, efficiency and power factor is selected. Once the best rotor configuration is defined, further investigations allow improving its performance by modifying the current angle, the stator winding and the thickness of the radial ribs.

Efficient design and optimization of MEMS by integrating commercial simulation tools

1998 ◽  
Vol 66 (1-3) ◽  
pp. 15-20 ◽  
Author(s):  
Oliver Nagler ◽  
Michael Trost ◽  
Bernd Hillerich ◽  
Frank Kozlowski
Keyword(s):  
Efficient Design ◽  
Design And Optimization ◽  
Simulation Tools

scholarly journals Design and Optimization of Lug Bracket Assembly

2021 ◽  
Vol 13 (1) ◽  
pp. 55-67
Author(s):  
G. GOWTHAM ◽  
G. SHIVA SAM KUMAR SHIVA SAM KUMAR ◽  
AASA DARA
Keyword(s):  
Static Loading ◽  
Design Procedure ◽  
Initial Model ◽  
Stress Concentrations ◽  
Fighter Aircraft ◽  
Design And Optimization ◽  
High Speeds ◽  
Cantilever Structure ◽  
Standard Design ◽  
Optimized Model

An aircraft is an advanced mechanical structure made by man which has been dominating the skies from the early 19th centuries. It has been used for transportation of cargo/ passengers from one place to another in a shorter period of time. Advances in aeronautics lead to the development of fighter aircrafts with exciting and dominating characteristics. A fighter aircraft is to be designed in such a way that it can withstand heavy loadings on the wing due to its high manoeuvrability. A fighter aircraft is designed to be marginally unstable, which makes control easier and better during manoeuvrability at high speeds, but in this state there is a heavy fluctuating load acting on the wing. The wing is connected to the fuselage using wing fuselage lug attachment bracket. Since the wing is a cantilever structure, the load acting on the wing is concentrated on the hinge (lug bracket assembly). In this paper, a lug bracket is designed according to the standard design procedure and is validated using Finite Element Methods to ensure the static loading capability and stress concentrations in lug bracket. The validated model has been optimized using Altair Optistruct. The optimized model has been validated under static loading condition for the stress concentration and displacement and is compared with initial model in order to study and understand its behaviour under various conditions.

Ship Damage Stability Approval Document Generation by a Amonte Carlo Method

2021 ◽  
Author(s):  
Stefan Krüger ◽  
Katja Aschenberg
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Information Needs ◽  
Computational Time ◽  
Strong Impact ◽  
Design Phase ◽  
Efficient Design ◽  
Stability Problems ◽  
Initial Design ◽  
Damage Stability

Abstract The revised SOLAS 2020 damage stability regulations have a strong impact on possible future ship designs. To cope with these requirements, damage stability investigations must become a central part of the initial design phase, and many internal subdivision concepts need to be investigated. Unfortunately, if damage stability calculations are performed in the classical way, they are very time consuming with respect to modelling and computational time. This fact has impeded the consequent subdivision optimization in the past. Therefore, a simulation procedure for damage stability problems was developed which treats damage stability as a stochastic process which was modeled by a Monte Carlo simulation. If statistical damage distributions are once known, the Monte Carlo simulation delivers a population of damages which can be automatically related to certain damage cases. These damage cases can then be investigated with respect to their survivability. Applying this principle to damage stability problems reduces the computational effort drastically where at the same time no more manual modelling is required. This development does especially support the initial design phase of the compartmentation and leads to a safer and more efficient design. If this very efficient simulation principle shall now also be used after the initial design phase for the generation of approval documents, additional information needs to be generated by the simulation method which is not directly obtained during the simulation: This includes detailed individual probabilities in all three directions and the integration of all damage cases into predefined damage zones. This results in fact in a kind of reverse engineering of the manual damage stability process to automatically obtain this required information. It can be demonstrated that the time to obtain the final documents for the damage stability approval can be drastically reduced by implementing this principle.

Linking Natural Modeling to Techno-centric Modeling for the Active Involvement of Process Participants in Business Process Design

2016 ◽  
Vol 7 (2) ◽  
pp. 1-30 ◽  
Author(s):  
Stefan Oppl ◽  
Nancy Alexopoulou
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Process Design ◽  
Design Procedure ◽  
Design Approach ◽  
Efficient Design ◽  
Business Process Design ◽  
Formal Process ◽  
Accurate Representation ◽  
Active Involvement

Actively involving participants in business process modeling enables integration between elicitation and modeling steps of the BPM lifecycle. Such integration may lead to a more efficient design procedure and ultimately to a more accurate representation of the business process. However, active involvement of process participants creates several challenges, as the latter are not expected to have modeling skills. The purpose of this paper is to present a business process design approach, called CoMPArE /WP, which tightly integrates the elicitation and modeling stages of process design, through the active involvement of process participants. To achieve effective involvement of process participants, CoMPArE/WP adopts the principles of natural modeling. However, being a business process design approach aiming at supporting the whole BPM lifecycle, CoMPArE /WP deals also with the transition of natural modeling to formal process representations that can be enacted using a BPMS.

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