Force analysis and kinematic optimizationof a fluid valve driven by shape memory alloys

Todorov, T.; Mitrev, Rosen; Penev, Ivaylo

doi:10.31181/rme200101061t

Cited by 12 publications

(9 citation statements)

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“…However, any selected layout variant must pass a manual check of its kinematic scheme to check out whether the solution is valid, and within the relevant design and manufacturing criteria [32]. This kinematic check consists of a schematic of the PGT being drawn up to verify whether the component PGTs may be interconnected in the intended manner, as some layouts can be impossible to assemble due to difficult bearing placement and intersections of internal and/or locked shafts.…”

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confidence: 99%

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

et al. 2022

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The subject of this paper is a two-carrier planetary gear train (PGT) which was developed for a specific purpose. This PGT may be used for applications in which a negative transmission ratio in the range -3…-143 is required. In this case, the mechanical and dimensional properties of the PGT have been analyzed for nominal negative transmission ratios of -30 and -40. All possible combinations of simple component PGT ideal torque ratios providing those transmission ratios were obtained. Only the combinations providing the minimum radial dimensions of the PGT assembly were selected. Subsequent analysis has shown that the PGT radial dimensions will be minimized when the ratio of the reference diameters of the planetary unit ring gears is close to unity, meaning that the PGT casing will be cylindrical rather than stepped. This paper also provides an overview of the DVOBRZ software package used to synthesize the different gearbox layouts for the required transmission ratio, combined with a basic introduction to single speed two-carrier PGTs for better understanding. The DVOBRZ software was used to select all the acceptable gearboxes were selected from the set of generated PGTs according to the criteria of minimum dimensions and acceptable efficiency range. This set of PGTs was checked for kinematic feasibility and construction concepts were created for feasible layouts.

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confidence: 99%

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

et al. 2022

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“…The problem of selecting and evaluating a sustainable supplier is addressed in many works. Analyzing papers [49][50][51] and using review papers [52][53][54] in this example of sustainable supplier selection, it was decided to extract the following set of five basic criteria. These are: c 1 , quality of service; c 2 , pollution control; c 3 , environmental efficiency; c 4, price; and c 5 , corporate social responsibility.…”

Section: Case Studymentioning

confidence: 99%

Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem

Zulqarnain

Siddique

Ali

et al. 2021

Entropy

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In this paper, we investigate the multi-criteria decision-making complications under intuitionistic fuzzy hypersoft set (IFHSS) information. The IFHSS is a proper extension of the intuitionistic fuzzy soft set (IFSS) which discusses the parametrization of multi-sub attributes of considered parameters, and accommodates more hesitation comparative to IFSS utilizing the multi sub-attributes of the considered parameters. The main objective of this research is to introduce operational laws for intuitionistic fuzzy hypersoft numbers (IFHSNs). Additionally, based on developed operational laws two aggregation operators (AOs), i.e., intuitionistic fuzzy hypersoft weighted average (IFHSWA) and intuitionistic fuzzy hypersoft weighted geometric (IFHSWG), operators have been presented with their fundamental properties. Furthermore, a decision-making approach has been established utilizing our developed aggregation operators (AOs). Through the established approach, a technique for solving decision-making (DM) complications is proposed to select sustainable suppliers in sustainable supply chain management (SSCM). Moreover, a numerical description is presented to ensure the validity and usability of the proposed technique in the DM process. The practicality, effectivity, and flexibility of the current approach are demonstrated through comparative analysis with the assistance of some prevailing studies.

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“…The main reason for the design of numerous optimization algorithms by researchers is to provide quasi-optimal solutions that are more appropriate and closer to the global optimal solution. In this regard, optimization algorithms have been applied to solve optimization problems in different branches of science such as microwave for design of rectangular microstrip antennas [13], electromagnetic prob-lems [14], Proportional-Integral-Derivative (PID) control [15], Flexible Job Planning (FJSP) problem [16], force analysis and optimization of kinematic parameters [17], simultaneous optimization of distributed generation [18], optimization of complex system reliability [19], design of model-based fuzzy controllers for networked control systems [20], design of the stable robot controller [21], and the Maki-Thompson rumor model [22].…”

Section: Lecture Reviewmentioning

confidence: 99%

Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems

et al. 2021

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Numerous optimization problems have been defined in different disciplines of science that must be optimized using effective techniques. Optimization algorithms are an effective and widely used method of solving optimization problems that are able to provide suitable solutions for optimization problems. In this paper, a new nature-based optimization algorithm called Snow Leopard Optimization Algorithm (SLOA) is designed that mimics the natural behaviors of snow leopards. SLOA is simulated in four phases including travel routes, hunting, reproduction, and mortality. The different phases of the proposed algorithm are described and then the mathematical modeling of the SLOA is presented in order to implement it on different optimization problems. A standard set of objective functions, including twenty-three functions, is used to evaluate the ability of the proposed algorithm to optimize and provide appropriate solutions for optimization problems. Also, the optimization results obtained from the proposed SLOA are compared with eight other well-known optimization algorithms. The optimization results show that the proposed SLOA has a high ability to solve various optimization problems. Also, the analysis and comparison of the optimization results obtained from the SLOA with the other eight algorithms shows that the SLOA is able to provide more appropriate quasi-optimal solutions and closer to the global optimal, and with better performance, it is much more competitive than similar algorithms.

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Force analysis and kinematic optimizationof a fluid valve driven by shape memory alloys

Cited by 12 publications

References 0 publications

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem

Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems

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