This paper presents a new algorithm that approximates the forces that develop between a human hand and the handles of a climbing wall. A hand-to-handle model was developed using this algorithm for the Open Dynamics Engine physics solver, which can be plugged into a full-body climbing simulation to improve results. The model data are based on biomechanical measurements of the average population presented in previously published research. The main objective of this work was to identify maximum forces given hand orientation and force direction with respect to the climbing wall handles. Stated as a nonlinear programming problem, solution was achieved by applying a stochastic Covariance Matrix Adaptation Evolution Strategy (CMA-ES). The algorithm for force approximation works consistently and provides reasonable results when gravity is neglected. However, including gravity results in a number of issues. Since the weight of the hand is small in relation to the hand-to-handle forces, neglecting gravity does not significantly affect the reliability and quality of the solution.
Shaft is a machine element which is used to transmit rotary motion or torque. During transmission of motion, however, the machine shaft doesn't always rotate with a constant angular velocity. Because of unstable current or due to sudden acceleration and deceleration, the machine shaft will rotate at a variable angular velocity. It is this rotary motion that generates the moment of inertial force, causing the machine shaft to have torsional deformation. However, due to the elasticity of the material, the shaft produces torsional vibration. Therefore, the main objective of this paper is to determine the optimal parameters of dynamic vibration absorber to eliminate torsional vibration of the rotating shaft that varies with time. The new results in this paper are summarized as follows: Firstly, the author determines the optimal parameters by using the minimum quadratic torque method. Secondly, the maximization of equivalent viscous resistance method is used for determining the optimal parameters. Thirdly, the author gives the optimal parameters of dynamic vibration absorber based on the fixed-point method. In this paper, the optimum parameters are found in an explicit analytical solutions, helping the scientists to easily find the optimal parameters for eliminating torsional vibration of the rotating shaft.
In this work, transient and free vibration analyses are illustrated for a functionally graded Timoshenko beam (FGM) using finite element method. The governing equilibrium equations and boundary conditions (B-Cs) are derived according to the principle of Hamilton. The materials constituents of the FG beam that vary smoothly along the thickness of the beam (along beam thickness) are evaluated using the rule of mixture method. Power law index, slenderness ratio, modulus of elasticity ratio, and boundary conditions effect of the cantilever and simply supported beams on the dynamic response of the beam are studied. Moreover, the influence of mass distribution and continuous stiffness of the FGM beam are deeply investigated. Comparisons between the current free vibration results (fundamental frequency) and other available studies are performed to check the formulation of the current mathematical model. Good results have been obtained. A significant effect is noticed in the transient response of both simply supported and cantilever beams at the smaller values of the power index and the modulus elasticity ratio.
The article describes a test stand with a spindle equipped with an active bearing preload system using piezoelectric actuators. The proper functioning of the spindle and the active system was associated with the correct alignment of the spindle shaft and the drive motor. The article presents two methods of shaft alignment. The use of commonly known shaft alignment methods with dial indicators is insufficient from the viewpoint of being able to control this preload. This work aims at making the readers aware that, for systems with active bearing preload, the latest measuring devices should be used to align the shaft. The use of commonly known methods of equalization with dial gauges is insufficient from the point of view of controlling this preload. Increasing the accuracy of shaft alignment from 0.1 to 0.01 mm made it possible to obtain a 50% reduction in the displacement of the outer bearing ring during spindle operation.
In this paper, the energy losses in big band saw machines are investigated. These losses are caused by the geometric and angular inaccuracies with which the leading wheels are made. Expressions for calculating the kinetic energy of the mechanical system in the ideal and the real cases are obtained. For this purpose, expressions for calculating the velocities of the centers of the masses in two mutually perpendicular planes are obtained. A dependence for calculation of the kinetic energy losses of the mechanical system in final form is received. Optimization procedure is used to determine the values of the parameters at which these losses have minimum values. The proposed study can be used to minimize energy losses in other classes of woodworking machines.
In manufacturing industries, the selection of machine parameters is a very complicated task in a time-bound manner. The process parameters play a primary role in confirming the quality, low cost of manufacturing, high productivity, and provide the source for sustainable machining. This paper explores the milling behavior of MWCNT/epoxy nanocomposites to attain the parametric conditions having lower surface roughness (Ra) and higher materials removal rate (MRR). Milling is considered as an indispensable process employed to acquire highly accurate and precise slots. Particle swarm optimization (PSO) is very trendy among the nature-stimulated metaheuristic method used for the optimization of varying constraints. This article uses the non-dominated PSO algorithm to optimize the milling parameters, namely, MWCNT weight% (Wt.), spindle speed (N), feed rate (F), and depth of cut (D). The first setting confirmatory test demonstrates the value of Ra and MRR that are found as 1:62 μm and 5.69 mm3/min, respectively and for the second set, the obtained values of Ra and MRR are 3.74 μm and 22.83 mm3/min respectively. The Pareto set allows the manufacturer to determine the optimal setting depending on their application need. The outcomes of the proposed algorithm offer new criteria to control the milling parameters for high efficiency.
Editor-in-Chief
Prof. Marek Wojtyra, Warsaw University of Technology, Poland
Editorial Board
Prof. Krzysztof Arczewski, Warsaw University of Technology, Poland
Prof. Janusz T. Cieśliński, Gdańsk University of Technology, Poland
Prof. Antonio Delgado, LSTM University of Erlangen-Nuremberg, Germany
Prof. Peter Eberhard, University of Stuttgart, Germany
Prof. Jerzy Maciej Floryan, The University of Western Ontario, Canada
Prof. Janusz Frączek, Warsaw University of Technology, Poland
Prof. Zbigniew Kowalewski, Institute of Fundamental Technological Research, Polish Academy of Sciences, Poland
Prof. Zenon Mróz, Institute of Fundamental Technological Research, Polish Academy of Sciences, Poland
Prof. Andrzej J. Nowak, Silesian University of Technology, Poland
Dr. Andrzej F. Nowakowski, The University of Sheffield, United Kingdom
Prof. Jerzy Sąsiadek, Carleton University, Canada
Prof. Jacek Szumbarski, Warsaw University of Technology, Poland
Prof. Tomasz Wiśniewski, Warsaw University of Technology, Poland
Prof. Günter Wozniak, Chemnitz University of Technology, Germany
Assistant to the Editor
Małgorzata Broszkiewicz, Warsaw University of Technology, Poland
Editorial Advisory Board
Prof. Alberto Carpinteri, Politecnico di Torino, Italy
Prof. Fernand Ellyin, University of Alberta, Canada
Prof. Feng Gao, Shanghai Jiao Tong University, P.R. China
Prof. Emmanuel E. Gdoutos, Democritus University of Thrace, Greece
Prof. Gregory Glinka, University of Waterloo, Ontario, Canada
Prof. Andrius Marcinkevicius, Vilnius Gedeminas Technical University, Lithuania
Prof. Manuel José Moreira De Freitas, Instituto Superior Tecnico, Portugal
Prof. Andrzej Neimitz, Kielce University of Technology, Poland
Prof. Thierry Palin-Luc, Arts et Métiers ParisTech, Institut Carnot Arts, France
Prof. Andre Pineau, Centre des Matériaux, Ecole des Mines de Paris, France
Prof. Narayanaswami Ranganathan, LMR, Ecole Polytechnique de l'Université de Tours, France
Prof. Jan Ryś, Cracow University of Technology, Poland
Prof. Adelia Sequeira, Technical University of Lisbon, Portugal,
Prof. Józef Szala, University of Technology and Life Sciences in Bydgoszcz, Poland
Prof. Edmund Wittbrodt, Gdańsk University of Technology, Poland
Prof. Jens Wittenburg, Karlsruhe Institute of Technology, Germany
Prof. Stanisław Wojciech, University of Bielsko-Biała, Poland
Language Editor
Lech Śliwa, Institute of Physiology and Pathology of Hearing, Warsaw, Poland
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Archive of Mechanical
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