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Kinetic modeling of Fischer-Tropsch-to-olefins process via advanced optimization

INTERNATIONAL JOURNAL OF CHEMICAL KINETICS 2022年第1期54卷 3-15页

作者： Turan, Abdullah Zahid Atac, Ozlem Kurucu, Oguz Alp Ersoz, Atilla Sarioglan, Alper Okutan, Hasancan TUBITAK Marmara Res Ctr Energy Inst Kocaeli Turkey Istanbul Tech Univ Chem Engn Dept Istanbul Turkey

The reaction kinetics of a Fischer-Tropsch (FT) process to produce lower olefins was modeled utilizing the experimental data produced using an in-house synthesized iron-based catalyst. Along with FT chain growth reaction that is assumed to follow alkyl mechanism, water-gas shift reaction was also taken into consideration due to its significance. Not only the rate constants but also apparent activation energies were obtained via an integrated approach utilizing multiobjective and constrained nonlinear minimization methods in order to define a model valid at a temperature range instead of a single point. The adaption of a hybrid optimization method utilizing both population- and individual-based techniques enhanced prediction accuracy compared with the case where only multiobjective genetic algorithm is used. Thanks to the developed model, the effect of process parameters on product distribution was investigated. Finally, the kinetic model was compared with Anderson-Schulz-Flory model and the deviations observed were discussed.

关键词： advanced optimization Fischer-Tropsch kinetics multiobjective generic algorithm

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optimization of EDM parameters using Ananya algorithm: A new advanced optimization technique

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Materials Today: Proceedings 2023年

作者： Neeraj Agarwal Mahendra Raj Singh Gurjeet Singh Rakesh Yadav Department of Mechanical Engineering IES College of Technology Bhopal 462044 MP India Department of Mechanical Engineering Shri Ram Institute of Technology Jabalpur 482002 MP India

Titanium alloys are nowadays machined using electric discharge machining (EDM). EDM is an unconventional machining tool which is used to produce complex geometric profiles. The major limitation of EDM machining is the low material removal rate (MRR) hence the MRR need to be maximized. There are so many modeling techniques available nowadays like regression modeling, response surface modeling, artificial neural network etc. optimization frequently relies on the use of a predictive model for achieving the best possible outcomes. Through the utilization of a computer and a well-suited optimization algorithm, it becomes feasible to attain an optimal result. Nowadays metaheuristic-based optimization techniques are very popular for optimization because traditional optimization is often unable to solve this type of problem. The result is either the optimum one or very near to the optimum solution. Genetic algorithm (GA), particle swarm optimization (PSO), and Ant colony optimization (ACO) is more popular algorithm nowadays. This research paper shows the EDM parameter optimization of MRR and tool wear rate (TWR) for titanium alloy Ti6Al4V. The Ananya algorithm is used to optimize the MRR and TWR. Ananya algorithm is very simple and easier to implement. Furthermore, it always achieved optimum solutions in every run. Ananya algorithm is compared to other algorithms.

关键词： Ananya Algorithm advanced optimization MRR TWR Titanium alloy

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A Process Systems Engineering Approach to Decision-Making in the Chemical Industry

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CHEMIE INGENIEUR TECHNIK 2025年第4期97卷 344-354页

作者： Wallrath, Roderich Univ Twente Fac Sci & Technol Sustainable Proc Technol Drienerlolaan 5 NL-7522NB Enschede Netherlands

A variety of optimization tools are used in the chemical industry, but they are often embedded in inflexible, isolated, manual, and complex decision-making processes. This work proposes a decision-making framework that integrates models, data, and decision-makers into data-connected decision cells, organized within a decision graph. The framework formalizes decision processes and enables systematic and adaptive workflows across decision layers. The framework can be applied to various use cases, including supply chain optimization and process design, to address the evolving challenges of the chemical industry. It enables a shift from component-level optimizations toward system-wide optimization strategies that account for the interconnected nature of complex production systems.

关键词： advanced optimization Chemical industry Decision support systems Model-aided decision-making

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optimization of relative wear ratio during EDM of titanium alloy using advanced techniques

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SN APPLIED SCIENCES 2020年第1期2卷 1-9页

作者： Agarwal, Neeraj Shrivastava, Nitin Pradhan, M. K. Rajiv Gandhi Proudyogiki Vishwavidyalaya Univ Inst Technol Bhopal India Maulana Azad Natl Inst Technol Bhopal India

This study presents the relative wear ratio (RWR) optimization of Titanium alloy 685 for electric discharge machining (EDM). Titanium alloys are widely used in modern industry due to its excellent engineering property like high strength to weight ratio, corrosion resistance. There is difficulty in the machining of titanium alloy with conventional machining processes, hence EDM used to machine titanium *** objective is to maximize the material removal rate (MRR) while the tool wear rate (TWR) should be minimized. The machined surface is an exact replica of the tool face. If TWR increases then the quality of the machined surface deteriorate. A new term introduces a RWR which represents the ratio of MRR to the TWR. The high value of RWR is desired to improve the quality of the machined surface. In this paper RWR is optimized. Response surface model used to develop a regression model of RWR. optimization of RWR is done by advanced optimization techniques, Jaya Algorithm, teaching-learning-based optimization and response optimizer. Parameters optimization of peak current (Ip), pulse on time (Ton), duty factor (t) and voltage (V) done in this study to maximize RWR.

关键词： EDM Electric discharge machining Modelling optimization advanced optimization Relative wear ratio (RWR) Titanium alloy 685 Jaya Algorithm

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optimization of material removal rate of Ti-6Al-4V using Rao-1 algorithm

Optimization of material removal rate of Ti-6Al-4V using Rao...

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International Academic Conference on Advances in Materials, Mechanics, Mechatronics and Manufacturing (IC4M)

作者： Agarwal, Neeraj Irshad, Md Singh, Mahendra Raj Singh, Gurjeet IES Coll Technol Dept Mech Engn Bhopal 462044 MP India Shri Ram Inst Technol Dept Mech Engn Jabalpur 482002 MP India

Titanium alloy Ti6Al4V has attractive properties for engineering applications. Electric discharge machining is nowadays widely adapted for titanium alloy machining to produce proper geometric profiles and surface integrity. EDM has a high machining cost and has a lower material removal rate (MRR). It is always desirable to improve the machining efficiency. This research involves, enhancing the MRR of Titanium alloy during EDM. The influence of four EDM input parameters on MRR is investigated in this research. Current, pulse on time, voltage and duty factor is selected as EDM control parameters. Response surface methodology (RSM) is utilized to create a design of experiment (DOE) plan. Thirty experiments were conducted as per the DOE. The experimental results are used to develop a predictable quadratic regression model for MRR using RSM. This MRR regression model is optimized using an advanced optimization technique, the Rao-1 algorithm. This is a new algorithm and easier to implement. The study reveals current and voltage are identified as the most influential factors in the MRR. Copyright (C) 2022 Elsevier Ltd. All rights reserved.

关键词： Electrical discharge machining MRR advanced optimization Rao-1 algorithm RSM

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A New Constrained-Based Multiobjective optimization Method for Electric Discharge Machining

A New Constrained-Based Multiobjective Optimization Method f...

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International Conference on Evolution in Manufacturing (ICEM)

作者： Agarwal, Neeraj Shrivastava, Nitin Pradhan, M. K. Rajiv Gandhi Proudyogiki Vishwavidyalaya UIT Bhopal India Maulana Azad Natl Inst Technol Bhopal India

ISBN: (纸本)9789811630330;9789811630323

This study proposed a new method of multiobjective optimization. Present multiobjective optimization produces only a single solution set. This is a major limitation of the present multiobjective optimization technique. This research gap is overcome in the proposed multiobjective optimization technique. In this method, a quality response is constrained to a certain value, and another quality response is optimized. In the next iteration, a minor increase in the constrained value of restricted response and again another quality response is optimized. Thus, it generates a large number of combinations set of the two quality responses. The researcher has a large number of choices. Titanium alloy 685 is chosen as a workpiece for electric discharge machining (EDM). The Jaya algorithm is used for parameter optimization. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： advanced optimization EDM Electric discharge machining Jaya algorithm Multiobjective constrained optimization Multiobjective optimization

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High-resolution three-dimensional blood flow tomography in the subdiffuse regime using laser speckle contrast imaging

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JOURNAL OF BIOMEDICAL OPTICS 2022年第8期27卷 083011页

作者： Jafari, Chakameh Z. Mihelic, Samuel A. Engelmann, Shaun Dunn, Andrew K. Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA Univ Texas Austin Dept Biomed Engn Austin TX 78712 USA

Significance: Visualizing high-resolution hemodynamics in cerebral tissue over a large field of view (FOV), provides important information in studying disease states affecting the brain. Current state-of-the-art optical blood flow imaging techniques either lack spatial resolution or are too slow to provide high temporal resolution reconstruction of flow map over a large FOV. Aim: We present a high spatial resolution computational optical imaging technique based on principles of laser speckle contrast imaging (LSCI) for reconstructing the blood flow maps in complex tissue over a large FOV provided that the three-dimensional (3D) vascular structure is known or assumed. Approach: Our proposed method uses a perturbation Monte Carlo simulation of the high-resolution 3D geometry for both accurately deriving the speckle contrast forward model and calculating the Jacobian matrix used in our reconstruction algorithm to achieve high resolution. Given the convex nature of our highly nonlinear problem, we implemented a mini-batch gradient descent with an adaptive learning rate optimization method to iteratively reconstruct the blood flow map. Specifically, we implemented advanced optimization techniques combined with efficient parallelization and vectorization of the forward and derivative calculations to make reconstruction of the blood flow map feasible with reconstruction times on the order of tens of minutes. Results: We tested our reconstruction algorithm through simulation of both a flow phantom model as well as an anatomically correct murine cerebral tissue and vasculature captured via two-photon microscopy. Additionally, we performed a noise study, examining the robustness of our inverse model in presence of 0.1% and 1% additive noise. In all cases, the blood flow reconstruction error was <2 % for most of the vasculature, except for the peripheral vasculature which suffered from insufficient photon sampling. Descending vasculature and deeper structures showed slightly h

关键词： blood flow tomography laser speckle contrast imaging perturbation Monte Carlo large-scale inverse problem convex nonlinear optimization stochastic gradient descent advanced optimization

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Recent advances on electrocatalytic CO2 reduction to resources: Target products, reaction pathways and typical catalysts

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CHEMICAL ENGINEERING JOURNAL 2023年 453卷

作者： Lei, Yaru Wang, Zheng Bao, Ai Tang, Xiaolong Huang, Xiubing Yi, Honghong Zhao, Shunzheng Sun, Ting Wang, Junyi Gao, Fengyu Univ Sci & Technol Beijing Sch Energy & Environm Engn Beijing Key Lab Resource Oriented Treatment Ind Po Beijing 100083 Peoples R China Univ Sci & Technol Beijing Sch Mat Sci & Engn Beijing Key Lab Funct Mat Mol & Struct Construct Beijing 100083 Peoples R China

With the rapid development of the global economy and excessive consumption of fossil fuels, the energy crisis and global warming are becoming increasingly serious. Achieving carbon neutrality and controlling temperature rise have become the global consensus issues. At present, CO2 resource recovery technology has become a research hotspot, and electrocatalytic CO2 reduction reaction (CO2RR) technology is considered as a promising strategy due to its advantages of simple device, high environmental compatibility and the possibility of com-bination with renewable solar or wind energy sources under mild reaction conditions. This review summarizes the possible transformation pathways of one-carbon (C1), two-carbon (C2), and multi-carbon (C2+) products in CO2RR. First, CO2RR can generate formic acid or formate, carbon monoxide, formaldehyde, methanol and methane through the carboxyl pathway. Second, formic acid or formate, methane or methanol can also be generated through the methanoyl pathway. Third, on the basis of the generation of *CO and *CHx (x =1, 2, 3, 4), C2 and even C2+ products can be further generated, such as the formation of ethanol through the alkyl-alcoholization pathway, and the production of ethylene through the alkylation pathway. The alloy catalysts (Cu-M, M = Sn, In, Ag, etc.), porous materials (MOFs, COFs, etc.), and atomically dispersed metal-based catalysts (ADMCs, M-N-C materials, etc.) of different products and their CO2RR effects are classified, which concluded that the development of catalysts with high selectivity, Faraday efficiency, current density, stability and low cost, and in-depth study of catalytic mechanism are still the current research direction of electrocatalytic CO2RR. In order to achieve efficient use of energy, it is also necessary to design electrocatalytic devices with higher mass transfer efficiency. In the future, it is a major new direction to find new green CO2RR pathways and to realize the synergistic treatment of CO2 wi

关键词： Electrocatalytic CO2 RR Resource products Transformation pathways Electrocatalysts advanced optimization

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Novel investigation strategy for mini-channel liquid-cooled battery thermal management system

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INTERNATIONAL JOURNAL OF ENERGY RESEARCH 2020年第3期44卷 1971-1985页

作者： Wang, Jianguo Lu, Shuai Wang, Yingzhou Ni, Yulong Zhang, Shude Northeast Elect Power Univ Jilin Sch Automat Engn Jilin 132012 Jilin Peoples R China

Many researchers have focused on liquid-cooled devices with simple structure and high efficiency, which promoted the gradual development of the mini-channel liquid-cooled plate battery thermal management system (BTMS), due to the advancement of liquid cooling technology. This paper has proposed an electrochemical-thermal coupling model to numerically predict the thermal behavior of the battery pack in different parameters of mini-channel cold plates and optimize the parameter combinations. The effects of cooling plate width, mini-channel interval, and inlet mass flow rate on the heat dissipation performance of the system were analyzed at a constant C-rate to provide a reliable experimental basis for the optimization model. Results indicate that increasing the cold plate width and the inlet mass flow rate reduce the temperature and temperature gradients. In addition, the minimum temperature difference is obtained at the mini-channel interval of 6 mm. The optimum cooling plate width (90 mm), mini-channel interval (4 mm), and inlet mass flow rate (80 g/s) are determined using the orthogonal test, analysis of variance, and comprehensive analysis of multi-index results. The addition of an auxiliary cooling system based on the optimized combination further reduces the maximum temperature and temperature difference of the battery pack by 4.9% and 9.2%, respectively. The developed strategy and methods can further improve the performance of the BTMS and provide a reference for the development of a compact battery pack at high discharge rates for engineering applications.

关键词： advanced optimization battery thermal management system liquid-cooled plate mini-channel orthogonal experiment

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