Design Optimization Process Research Articles

A hybrid polynomial-based optimization method for underwater gliders with parameter uncertainty

As a type of enduring platform for ocean exploration, underwater glider usually contains some uncertain parameters in actual engineering applications, which are related to manufacturing errors, assembly errors, and sensor measurement errors. Uncertain parameters will make the glider performance show uncertain characteristics, so it is necessary to consider their effects in the design optimization process for an underwater glider. In this paper, a hybrid polynomial-based optimization method is proposed to solve optimization problems of underwater gliders with parameter uncertainty. The hybrid polynomial consists of power function terms and trigonometric function terms, and it is used for fitting surrogate models of the glider dynamic models. The fitted surrogate models are used for quickly calculating the performance evaluation parameters of underwater gliders. Specifically, power function terms and trigonometric function terms correspond to optimization design variables and uncertain parameters, respectively. The hybrid polynomial method covers the convenience of the traditional response surface method and the advantage of the Chebyshev polynomial in interval analysis. Based on surrogate models and interval analysis, we can estimate boundary functions of performance evaluation parameters, and they are employed to construct optimization objective functions. Then, the optimization iteration calculation can be carried out. Here, the proposed method is used for determining the optimal control parameter values of the Petrel-II glider with the uncertainty of some configuration and measurement parameters. The optimization objectives are to minimize the specific energy consumption and maximize the average advance velocity simultaneously. Finally, some laws of the glider performance are summarized.

Determination of osmotic coefficients and activity coefficients of calcium d-pantothenate, cefazolin sodium, and ceftriaxone sodium drugs in aqueous solutions of amino acids by using vapor pressure osmometry at 310.15 K

Fundamental and serious efforts have been made over the past years to improve the drug acts, which leads to the discovery of novel drug preparations and delivery systems. The optimal design of such processes requires a molecular-level understanding of the interactions between drug molecules and biomolecules such as proteins. The thermodynamic investigation provides deep insight and knowledge of solute-solvent interactions and selection of appropriate production compounds in pharmaceutical fields. Particularly, the study of drug + biomolecule in aqueous media is the central issue in many types of research. The osmotic coefficient data for aqueous solutions containing the drugs (calcium d-pantothenate (CDP), cefazolin sodium (CFZ.Na), ceftriaxone sodium (CFT.Na)) with simple amino acid, l-alanine, glycine and l-leucine are obtained at 310.15 K using vapor pressure osmometry. Activity coefficients of both components in mixture were estimated using experimental osmotic coefficients. According to the results, the values of osmotic coefficients for the ternary system (drug + water + l-leucine) with a concentration of 0.04 mol∙kg−1 are higher than those values in other systems. The concentration dependence of osmotic coefficients indicates ion-pair formation between the ions of the drugs. Finally, Lin et al. and ECA models were used to correlate the water activity data in the presence of the amino acids obtained for the aqueous solution (drug + water + amino acid).

Deep Drawing Process Design and Quality Optimization of Mirror Micromotor Shell

First of all, a negative clearance deep drawing scheme is proposed for a micromotor shell product with specular surface quality. The negative clearance condition is used to make the material bear strong extrusion and plastic deformation in the deep drawing process so that the mirror surface of the shell is realized, and the surface roughness Ra is below 0.2 mm. Next, a three-step deep drawing forming process is developed, and the negative clearance parameters of each step are designed and optimized. The drawing quality is evaluated by finite element simulation. In addition, the stamping trial-production test is carried out, and the qualified mirror micromotor shell is obtained. Finally, the thickness and roughness test results show that the thinning rate and roughness of the product meet the application requirements. Therefore, the developed drawing process and negative clearance drawing scheme are reasonable.

Structural design optimization of a high-speed rotor system for mechanical vibration mitigation

This work proposes a design optimization approach for a high-speed rotor system, commonly used in a wide range of industrial applications, in order to address the issue with the flexural flexibility of a rotor system which can cause significant vibration and noise problems due to shaft whirl. For this purpose, the numerical modeling of a flexible rotor system was used to carry out the optimization process considering the effects of the mass and transverse natural frequency to the optimized design. Torque and geometrical sizing were also incorporated as the constraints in the optimization. The rotor system was modeled as a multi-disc Jeffcott rotor system that allows a rapid design optimization process. A case study on a high-speed rotor was carried out to demonstrate the effectiveness of the developed optimization approach, yielding the reduction of the rotor mass by at least 45.6%, while the fundamental transverse natural frequency has been increased by 2.91% as the result.

Environmental landscape design and planning system based on computer vision and deep learning

Abstract Environmental landscaping is known to build, plan, and manage landscapes that consider the ecology of a site and produce gardens that benefit both people and the rest of the ecosystem. Landscaping and the environment are combined in landscape design planning to provide holistic answers to complex issues. Seeding native species and eradicating alien species are just a few ways humans influence the region’s ecosystem. Landscape architecture is the design of landscapes, urban areas, or gardens and their modification. It comprises the construction of urban and rural landscapes via coordinating the creation and management of open spaces and economics, finding a job, and working within a confined project budget. There was a lot of discussion about global warming and water shortages. There is a lot of hope to be found even in the face of seemingly insurmountable obstacles. AI is becoming more significant in many urban landscape planning and design elements with the advent of web 4.0 and Human-Centred computing. It created a virtual reality-based landscape to create deep neural networks (DNNs) to make deep learning (DL) more user-friendly and efficient. Users may only manipulate physical items in this environment to manually construct neural networks. These setups are automatically converted into a model, and the real-time testing set is reported and aware of the DNN models that users are producing. This research presents a novel strategy for combining DL-DNN with landscape architecture, providing a long-term solution to the problem of environmental pollution. Carbon dioxide levels are constantly checked when green plants are in and around the house. Plants, on either hand, remove toxins from the air, making it easier to maintain a healthy environment. Human-centered Artificial Intelligence-based web 4.0 may be used to assess and evaluate the data model. The study findings can be sent back into the design process for further modification and optimization.

On Friction, Heat Input, and Material Flow Initiation during Friction Stir Welding: Tool and Process Optimization

The Friction Stir Welding (FSW) process depends entirely upon mechanical contact between the tool and the workpiece. As a result of this, all process phenomena and process outcomes such as weld geometry and mechanical properties are governed by FSW’s frictional system. The following work characterizes this system with a focus on process initialization, heat input and material flow. For this purpose, an experimental program for the isolated investigation of the frictional system was carried out. Short-term effects such as contact initiation, run-in behavior and frictional transitions are considered as well as the influences of process parameters and geometry. The system and its behavior are analyzed quantitatively and qualitatively by experiments altering the normal pressure, relative velocity, and tool geometry. The experiments demonstrate a self-similar behavior of the process, including an important wear transition which initiates the material flow, and a subsequent equilibrium of forces, heat balance, and temperatures. The interaction between the tool and the welded material is described, as is the link between the frictional interface and material flow initialization. Based on these findings, recommendations are provided for process optimization and tool design.

Eddy Current Loss Reduction in Axial-Flux Motors Using 3D Printing

As more electrification and emission-free transportation trends receive more attention, electrical systems applied in the aircraft and automotive industries are changing from fossil fuel and hydraulic systems to electric AC machine drive systems. Three-dimensional printing technology has been contributing to a new design of machines, because it provides many opportunities without limitation compared to the conventional manufacturing system. Although 3D printing technology opened a door for increasing the efficiency and power density of AC machine drives with low conduction loss, an optimal design process for eddy current loss reduction is required, because eddy current loss is affected by the design structure of the machine. The slit structure at the stator shoe is proposed to reduce eddy current loss. With the three variables, the number of slits, the thickness of slits, and the length of ribs, a parametric analysis was conducted to find an optimal design with eddy current loss reduction without a significant performance dip. The optimal design provides an 18.75% decrease in eddy current loss.

Precipitation of TCP phases with R/P intergrowth structure during directional solidification in a Ru-containing nickel-based single crystal superalloy

The topologically close-packed (TCP) phases with R/P intergrowth structure formed at the final stage of directional solidification in a Ru-containing nickel-based single crystal (Ni-SX) superalloy were investigated. The nodular TCP phases were distributed in the interdendritic regions of the as-cast microstructure. Precipitation of the β-NiAl phases and the subsequent incomplete peritectic reaction (Liquid + β-NiAl → γ′ + β-NiAlresidual) resulted in the accumulation of the TCP-forming elements (Cr, Co, Mo, W, Ta, and Re) in the residual liquid around the β-NiAl phase, which provided a favorable nucleation condition, leading to the precipitation of TCP phase in the vicinity of the β-NiAl phases. In addition, the TCP phases were found to be the R/P intergrowth structure with an orientation relationship of [2,7,10]R//[001]P and (322¯)R//(200)P, (44¯2)R ∼3.2° from (11¯0)P. Further, the formation mechanism of these TCP phases with R/P intergrowth structure was systematically discussed in terms of crystal structure, interface characteristics, and chemical composition. The result can provide theoretical guidance and experimental data for the composition design and heat treatment process optimization of the novel Ru-containing high-generation Ni-SX superalloys.

Analysis of the Descent Process and Multi-Objective Optimization Design of a Benthic Lander

The growing need for deep-sea biological research and environmental monitoring has expanded the demand for benthic landers. Compared with remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs), benthic landers can reduce overall operation cost and also possess longer endurance. Configuring a suitable descent velocity is important for benthic lander designs, helping them avoid retrieval failure and improve sea trial efficiencies. In this study, an effective scheme for the configuration and optimization of a self-developed benthic lander was outlined. First, the structural characteristics of the benthic lander were analyzed, and then a dynamic model was established. Second, the hydrodynamic coefficients of the benthic lander during its descent process were calculated using computational fluid dynamics (CFD) methods. Third, the MATLAB Simulink simulation environment was used to solve the dynamic model, and then the multi-objective optimization algorithm was introduced for the optimization design. Finally, the model was validated based on sea trial data, which demonstrated that the designed configuration and optimization scheme were correct and efficient. Collectively, this work provides a useful reference for the rational configuration and practical application of benthic landers.

Application of Finite Element Method for Mechanical Characterization of Wood and Reconstituted Lignocellulosic-Based Composites – A Review

Performance evaluations of wood and other lignocellulosic-based composites involve complex scenarios of several factors such as material heterogeneity and geometry that often leads to complicated, expensive, and time-consuming experimental procedures. Hence, the application of computational modeling and simulation is desirable to mitigate these biocomposites’ performance testing challenges. This review paper, therefore, presents an outlook on the finite element method (FEM) application in probing performance characteristics of wood and solid wood-based composites as well as reconstituted wood and other lignocellulosic-based composites. Notwithstanding the complex nature of wood and other lignocellulosic biomass, the feasibility of FEM application in characterizing their performances has been favorably demonstrated. Going forward, broader applications of FEM combined with the design of experiments would further establish developing protocols. More exploration of FEM-based parametric and optimization studies would facilitate comprehensive, cost-efficient, and swift biocomposites design and performance optimization processes thereby enhancing their acceptance and implementation in target applications.

A Review on Optimization of Cooling Rate in Pressure Die Casting with Time Domain.

This review paper represents the analysis and optimization for the selection of input variable based on controlling casting regime in order. This review uses specific example of introduced advantage of concurring new products with modern software package comparing to conventional manner. It refers implementation of modern software packages reduces time necessary for concurring new product, reinstates better control over process, increases quality and reduces price of new product. This review paper facilitates not only numerical casting simulation but the optimization of the present casting process design can be done but also an entirely new casting process design for a new casting can be quickly and efficiently made.

Study on Impact Mechanical Properties of Reentrant Bionic Automotive Energy Absorbing Box.

In order to impprove the protective effect of the automotive energy absorption (EA) box, the design of the reentrant bioinspired EA box is proposed, that is, novel bioinspired structures are inserted into the original EA box to improve the EA effect of the box. The improved bionic structures with curvature are designed according to the spider web: honeycomb structure (HS), arc-honeycomb structure (AHS), negative Poisson structure (PS), and arc negative Poisson structure (APS). A new bionic automobile energy absorbing box is constructed by combining with automobile energy absorbing box. Experiments and simulations further verify excellent mechanical properties of bionic structures. The results show that EA of AHS and APS is 117.2% and 105.8% of HS and PS. Their specific energy absorption is 112.2% and 102.7% of HS and PS. HS EA box structure, AHS energy absorption box structure, PS energy absorption box structure, and APS energy absorption box structure are 114.2%, 117%, 109.2%, and 116.2% higher than traditional EA box structures, respectively. The excellent characteristics of biological structures can provide ideas for structural design objectives of engineering applications and greatly simplify the process of optimal design.

Investigations on System Integration Method and Optimum Design Method of Electro-Mechanical Actuator System

With technological advances and industrial upgrading, high-performance equipment has put higher demands on the performance of electro-mechanical actuators. With a view to making electro-mechanical actuators more reliable and integrated, firstly, an integrated electro-mechanical actuator module (IEMM) with multiple structural forms was proposed in this paper, and a comparative analysis was performed on the characteristics of different transmission schemes. Then, the feasibility of manufacturing the IEMM’s main bearing components using Carbon Fiber Reinforced Polymer (CFRP) with higher specific stiffness, specific modulus and specific strength was demonstrated by finite element simulation (FEA) software, in a bid to further reduce the weight of the IEMM. Next, a parameter estimation model, a heating power calculation model, and a thermal resistance calculation model were built, so that there is no need to rebuild the whole system model under different demand indexes. On this basis, a multi-objective optimization design model was built with light weight, low power loss, and high level of integration as optimization aims to achieve better comprehensive performance in the early design phase of the IEMM system. However, IEMM’s higher level of integration and its shell made of CFRP with a thermal conductivity of less than 5 W/m°C posed a challenge to the heat dissipation of the motor stator. Therefore, a thermal network model needs to be created in AMESim to evaluate the temperature of IEMM’s parts and components under different working conditions. Finally, the process of IEMM performance optimization design was described and improved, and performance optimization design was conducted by taking one of IEMM’s transmission schemes as an example.

Determination of optimization criteria for a special­purpose infocommunication network management system

As of today, taking into account the realities of the war in the country and the prospects for the development of the special-purpose information communication network management system, it is possible to assert the presence of a stable trend of growth in the volume and improvement of the quality of telecommunication services provided. This leads to an increase in the quantity and quality of control information, which, in turn, leads to a disproportionate growth of the special purpose information communication network management system itself. The described trend determines the need to optimize the management system as part of a special purpose information and communication system. To solve this problem, it is necessary to define the optimization criteria for the management system of a special purpose information communication network. The characteristic features of the special purpose information communication network management system given in the article allow it to be considered a "big system". For such a "big system" the question of its optimization becomes urgent. Optimization can be considered both the optimization of the control system design process itself and the optimization of the operation of the control system. The determined directions of optimization are dependent on each other. The designed special purpose information communication network management system will have quality indicators that depend on the quality of development, resources and time spent, that is, on the optimality of the design process. On the other hand, the resources and time spent on the design of the control system will significantly depend on the expected quality parameters of the system. There are several ways to combine the partial criteria of the control system to obtain an integral generalized criterion, which will make it possible to implement a global synthesis of the control system taking into account all the selected partial criteria of the system. Thus, the paper presents a method of multi-criteria optimization of the management system of a special purpose information communication network. The external parameters of the special purpose information communication network management system, which are critical in modern conditions, are described: the amount of information, delay, survivability, functional flexibility, reliability and cost. The need to combine conflicting criteria such as the amount of control information, reliability, survivability, functional flexibility, latency, and cost is emphasized. The advantage of using multi-criteria optimization of the special-purpose information communication network management system compared to single-criteria optimization is shown.

Minimizing Buoyancy Factor of Metallic Pressure-Hull Subjected to Hydrostatic Pressure

To increase the payload, reduce energy consumption, improve work efficiency and therefore must accordingly reduce the total hull weight of the submersible. This paper introduces a design optimization process for the pressure-hull of submarines under uniform external hydrostatic pressure using both finite element analysis (FEA) and optimization tools. A comprehensive study about the optimum design of the pressure hull, to minimize the weight and increase the volume, to reach minimum buoyancy factor and maximum operating depth minimizing the buoyancy factor (B.F) is taken as an objective function with constraints of plate and frame yielding, general instability and deflection. The optimization process contains many design variables such as pressure-hull plate thickness, unsupported spacing, dimensions of long and ring beams and finally the elliptical submersible pressure-hull diameters. The optimization process was conducted using ANSYS parametric design language (APDL) and ISIGHT. The Multi-Island Genetic Algorithm (G.A) is considered to conduct the optimization process. Additionally, parametric analysis is done on the pressure hull to examine the effect of different design variables on the pressure-hull design. As a result, the B.F of the proposed optimal model is reduced by an average of 31.78% compared with Reference Model (RM). Maximum von Mises stress is reduced by 27% as well. These results can be helpful for submarine pressure-hull designers.

Visible imaging system optical design by continuous optimization of glasses

Choice of lenses materials in optical design is crucial to reduce aberrations down to an acceptable level. Commercial glasses do not cover a continuous range of refractive indices and must be selected in a discrete library making them discrete variables in any optimization design process to achieve the final optical design to be manufactured. This paper proposes an alternative method to avoid the complicated discrete variables optimization process thanks to a two-steps continuous optimization methodology starting with fictitious glasses models before jumping to the real glasses optimization design. The illustration of this process and achieved results are presented on an example of optical system which validates our proposed method.

Optimising cell-based bioassays via integrated design of experiments (ixDoE) - A practical guide.

For process optimisation Design of Experiments (DoE) has long been established as a more powerful strategy than a One Factor at a Time approach. Nevertheless, DoE is not widely used especially in the field of cell-based bioassay development although it is known that complex interactions often exist. We believe that biopharmaceutical manufacturers are reluctant to move beyond standard practices due to the perceived costs, efforts, and complexity. We therefore introduce the integrated DoE (ixDoE) approach to target a smarter use of DoEs in the bioassay setting, specifically in optimising resources and time. Where in a standard practice 3 to 4 separate DoEs would be performed, our ixDoE approach includes the necessary statistical inference from only a single experimental set. Hence, we advocate for an innovative, ixDoE approach accompanied by a suitable statistical analysis strategy and present this as a practical guide for a typical bioassay development from basic research to biopharmaceutical industry.

RESEARCH ON BUSINESS PROCESS REENGINEERING OF REAL ESTATE ENTERPRISES

With the deepening of economic globalization, the global market has gradually changed from the situation dominated by sellers to the era dominated by buyers. This change makes the competitive environment in which enterprises are in become increasingly complex and the market competition becomes increasingly fierce. Due to the change of market environment, the field of management theory is also quietly changing, such as learning organization, virtual management, flexible organization and other new management models. Learning organizations strive to adapt to the changing market environment by constantly updating and improving their own skills; With the help of information technology, virtual management transfers part of the management functions inside the enterprise to the virtual space, realizes the cross-region, cross-time and space management, and improves the management efficiency. Flexible organization emphasizes that enterprises should be as adaptive as organisms, and constantly adjust their organizational structure with changes in the external environment to better adapt to market competition. These new management models provide new ideas and methods for enterprises to win the opportunity in the fierce market competition. In the early 1990s, the business process reengineering (BPR) theory proposed by American management scientists Michael Hammer and James Champy set off a process revolution in the world. The BPR project is a large and comprehensive issue. It involves the process setting and organizational structure of the enterprise, and is also linked to human resource management, IT system application and other links. It is a systematic project. This paper analyzes the background and significance of BPR appearing in the modern economic environment. The concept of BPR is introduced, and the three key principles of BPR (target process, customer research, and technical conditions) are analyzed. By studying the development process of enterprise BPR, the article discusses the BPR scheme of real estate enterprises according to the development status of China's real estate. The article is based on the "6 stages" (strategic conception stage, project initiation stage, analysis and diagnosis stage, process optimization design stage, process organization reengineering stage, and process evaluation and improvement stage) reengineering and optimization ideas. Starting from the business characteristics of the real estate market development department, cost management department, engineering management department, technical management department, and procurement management department, provide standardized and effective real estate enterprise business process management methods and practices to promote the successful implementation and operation of real estate projects.

다단계 최적화 프로세스를 활용한 축류 펌프 임펠러 설계

In this paper, design optimization and suggestion of design improvement of the axial-flow pump impeller are investigated using the multi-stage optimization process. it is constructed by screening, metamodeling, design optimization, and analysis of design optimization results. Throughout the process, Commercial PIDO software called PIAnO and AIDesigner was used. For design simplification and efficiency refinement of the design optimization process, screening of design variables was applied, filtered 4 variables were used to construct metamodels of performance characteristics. Metamodels with the least error were polynomial regression for Efficiency and Kriging for the total head, and they were used on design optimization of the axial pump impeller. The method of design optimization was PQRSM selected by AIDesigner. As a result, the axial-flow pump impeller was satisfied its required total head with improved efficiency. Using contribution analysis and trade-off analysis, it can be improved when shroud length would be increased larger than its own upper limitation.

Optimization of Drilling Well Design: A Review

Drilling well design optimization reduces total Authorization for Expenditures (AFE) by decreasing well constructing time and expense. Well design is not a constant pattern during the life cycle of the field. It should be optimized by continuous improvements for all aspects of redesigning the well depending on the actual field conditions and problems. The core objective of this study is to deliver a general review of the well design optimization processes and the available studies and applications to employ the well design optimization to solve problems encountered with well design so that cost effectiveness and perfect drilling well performance are achievable. Well design optimization processes include unconventional design(slimhole) compared with fat design, in addition to optimizing casing setting depth selection and casing string loads. Finally, we demonstrate well trajectory design considerations and optimization. The optimization process that mentioned above is significantly reduce drilling cost and time since, slimhole design with smaller casing and hole size reduce mud volume cost, steel cost and pump fuel cost. Optimum casing seat selection can ovoid serious problem such as kick and losses that increase nonproductive time (NPT) if kick tolerance and downhole pressure profile is not considered. Anticipating optimum stress loads in casing design is most effective way to reduce casing strings cost avoiding additional cost for designing with useless worst conditions. Wellbore trajectory optimization with geomechnic consideration is major concern to reduce the problem encountered with high torque, drag, formation collapse that result stuck pipe and non-productive time (NPT).