A Blended Empirical Shot Stream Velocity Model for Improvement of Shot Peening Production

2021 ◽  
Author(s):  
VAN BO NGUYEN ◽  
Augustine Teo ◽  
Te Ba ◽  
Ampara Aramcharoen ◽  
Kunal Ahluwalia ◽  
...  
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Measurement Data ◽  
Velocity Model ◽  
Stream Velocity ◽  
Single Output ◽  
Single Input ◽  
Online Tracking ◽  
Optimal Process Control

Abstract Peening intensity and coverage are vital measurement outputs to quantify the quality of a peening process in surface enhancement operation of metal parts. In practice, these parameters can only be measured offline upon process completion, which are not suitable for online tracking and operation. Instead, shot stream velocity can be used as a real-time monitoring parameter to bridge operational inputs to the outputs. As such, a robust and accurate shot stream velocity model is needed for real-time tracking. In this study, we propose a blended practical model for shot stream velocity to address the issues. The model is constructed using regression algorithm based on the blended candidate functions, which are developed from experimental data and nature of the particle-air flow inside the system. Obtained model is validated against experimental data for different conditions. Calculated velocities are in good agreement with the measurements. In addition, applications of the model in predicting the shot stream velocity for different peen types, different peening intensities and coverages. The obtained results are comparable to the measurement data. Furthermore, a single-input and single-output model-based control is developed from proposed shot stream velocity model. The developed control system is robust, accurate and reliable. It implies that the developed model can be used to provide necessary information as well as in optimal process control development to improve and accelerate the peening processes to reduce cost and time of actual productions.

Inverse control of single-input/single-output nonlinear time-varying systems with noise disturbances by multi-dimensional Taylor network

2020 ◽  
Vol 42 (13) ◽  
pp. 2450-2464
Author(s):  
Hong-Sen Yan ◽  
Chao Zhang
Keyword(s):  
Real Time ◽  
Recursive Least Squares ◽  
Time Varying ◽  
Single Input Single Output ◽  
Inverse Control ◽  
The Real ◽  
Single Output ◽  
Time Varying Systems ◽  
Single Input ◽  
Noise Disturbances

In this paper, an inverse control scheme based on the novel dynamic network (multi-dimensional Taylor network (MTN)) is proposed for the real-time tracking control of nonlinear time-varying systems with noise disturbances. Utilized in this scheme are the three MTNs: the adaptive model identifier for system modeling, the adaptive inverse controller for inverse modeling, and the adaptive nonlinear filter for eliminating the noise disturbances, whose weights are modified by the variable forgetting factor recursive least squares (VFF-RLS), back propagation through model (BPTM), normalized least mean square (NLMS) algorithms, respectively. To avoid “compromise”, this scheme is designed into a structure wherein controlling the object dynamic response and eliminating the noise disturbances are implemented in two relatively independent processes. Furthermore, the weight-elimination algorithm is introduced for choice of effective regression items to avoid the dimension explosion, thus overcoming the shortcoming that the number of middle nodes needs to be determined before using the traditional neural network. After a certain number of training, the more streamlined MTNs are observed to contribute to satisfying the real-time requirements of software implementation and engineering application. To ensure that MTN inverse control is strict in theory, the general conditions for the existence of single-input/single-output (SISO) nonlinear inverse systems are identified. Simulation of the MTN inverse control is conducted to confirm the effectiveness of the proposed method.

scholarly journals Passivity based Approach for the Level Control of Spherical Tank Process

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Priya C ◽  
Lakshmi Ponnnusamy
Keyword(s):  
Real Time ◽  
Open Loop ◽  
Level Control ◽  
Time Model ◽  
Single Input Single Output ◽  
The Real ◽  
Single Output ◽  
Spherical Tank ◽  
Tank System ◽  
Single Input

The aim of this paper is to obtain the mathematical model and the real time model of the Single Input Single Output (SISO) conical tank system. The experimental model is obtained from the open loop response in real time and the transfer function is obtained using the two point method. For the real time model, two different controllers namely Zeigler Nichols tuned PI controller and passivity based controller are designed and tested in simulation and the performance of both the controllers are tested for servo operation and regulatory operation. The designed controllers are tested in Simulation and the response is recorded. The simulation results shows that the Passivity based Controller works better for the spherical tank process.

A Model for Multi-Input Mechanical Advantage in Origami-Based Mechanisms

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
Jared Butler ◽  
Landen Bowen ◽  
Eric Wilcox ◽  
Adam Shrager ◽  
Mary I. Frecker ◽  
...  
Keyword(s):  
Experimental Data ◽  
Compliant Mechanisms ◽  
Compliant Mechanism ◽  
Magnetic Actuation ◽  
Complex Mechanism ◽  
Mechanical Advantage ◽  
Single Output ◽  
Multiple Input ◽  
Engineering Problems ◽  
Single Input

Mechanical advantage is traditionally defined for single-input and single-output rigid-body mechanisms. A generalized approach for identifying single-output mechanical advantage for a multiple-input compliant mechanism, such as many origami-based mechanisms, would prove useful in predicting complex mechanism behavior. While origami-based mechanisms are capable of offering unique solutions to engineering problems, the design process of such mechanisms is complicated by the interaction of motion and forces. This paper presents a model of the mechanical advantage for multi-input compliant mechanisms and explores how modifying the parameters of a model affects their behavior. The model is used to predict the force-deflection behavior of an origami-based mechanism (Oriceps) and is verified with experimental data from magnetic actuation of the mechanism.

scholarly journals PSYCHOLOGICAL STRESS MONITORING USING INVASIVE AND NON-INVASIVE METHODS IN ATHLETES

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Gabriella Makra ◽  
László Balogh
Keyword(s):  
Small Intestine ◽  
Real Time ◽  
Measurement Data ◽  
Rate Of Change ◽  
Measurement Tool ◽  
Stress Monitoring ◽  
Sports Science ◽  
Non Invasive ◽  
Cortisol Levels

Introduction: The quality of performance is essential both in everyday life and in competition. In sports science (also), we have to think of the man in a complex way as a bio-psycho-social unit. In addition to changes in ECG HR and blood cortisol levels, gastrointestinal tract movements are also associated with stress management (FUKUNAGA et al., 2000) (VIANNA - TRANEL, 2006), which plays a crucial role in determining the quality of performance. Several preclinical trials have formed the basis of our research (SZŰCS et al., 2018). Objective: Based on our earlier research and literature reviews, we would like to test and participate in validating a new method that can monitor the effects of stress on humans in real-time, in a non-invasive way, with quantitative results. In addition to GI monitoring, cortisol levels are measured invasively in the subjects, so we hope to obtain complex results. Methods: n = 13, athletes, male = 11, female = 2, mean age 22 +/- 1,031 years. Our protocol was 115 minutes, in which we distinguished four stages (rest, stress, latency 1, latency 2). We use two methods to measure stress. One is the blood cortisol level (ELISA), and the other is the MDE Heidelberg Stress Holter (EGG), which is an innovative measurement tool capable of simultaneously examining several parameters (Small Intestine, Colon, Stomach, ECG HR). The VTS DT package was used as a stressor. Result: Based on the complex results of the EGG, we can conclude that the Small Intestine, Colon, and Stomach motility, as assessed by the Power Spectrum (PS) Fold Change (FC) calculation, increased together under stress, and then latency decreased together over time. However, the rate of change in cortisol levels showed that most participants adapted the stressor as eustress so that its value decreased linearly. Conclusions: Innovative measurement and evaluation methods are well utilized, as they can communicate many measurement data in a valid, real-time, non-invasive way, with a parallel display. These data and results will be used in athlete selection, mental training, elite sports, neuro-biofeedback, and health preservation.

Development and Application of Quality Control System for Highway Subgrade Construction

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Tong Wang
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Detection Method ◽  
System Development ◽  
Effective Control ◽  
Construction Process ◽  
Development Mode ◽  
The Road ◽  
Whole Process

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.

CONTROL IN REAL TIME THE DENSITY OF PRODUCT AT VARIOUS STAGES OF THE TECHNOLOGICAL PROCESS OF SUGAR PRODUCTION

2020 ◽  
Author(s):  
S.B. Kudryashev ◽  
◽  
N.S. Assev ◽  
R.D. Belashov ◽  
V.A. Naumenko ◽  
...  
Keyword(s):  
Real Time ◽  
Technological Process ◽  
Sugar Industry ◽  
Sugar Production ◽  
Production Processes ◽  
Quality Of Products

The article is devoted to solving one of the most important problems of the development of the sugar industry in Russia – the modernization of sugar production processes. Today, sugar production is actively being modernized, shifting most of its processes to the path of avomatization and optimization to improve the quality of products. This article describes one of the main ways to obtain information about the concentration of sucrose in syrup in the production of sugar.

Орошение томата F1 Донской в открытом грунте Московской области

2019 ◽  
Author(s):  
D.I. Engalychev ◽  
N.A. Engalycheva ◽  
A.M. Menshikh
Keyword(s):  
Experimental Data ◽  
Agricultural Technology ◽  
Tomato Fruits ◽  
River Floodplain ◽  
Yield And Quality ◽  
Open Ground ◽  
Alluvial Meadow ◽  
Standard Production ◽  
Moscow River

Представлены экспериментальные данные о влиянии капельного орошения на урожайность и качество плодов томата при выращивании культуры в открытом грунте Московской области. На плодородных аллювиальных луговых почвах Москворецкой поймы при соблюдении агротехники без орошения в среднем за три года исследований в полевых условиях получена урожайность томата F1 Донской 31,9 т/га, с орошением 48,5 т/га, в т.ч. стандартной продукции 42,6 т/га.The article presents experimental data on the effect of drip irrigation on the yield and quality of tomato fruits when growing crops in open ground of the Moscow Region. On fertile alluvial meadow soils of the Moscow river floodplain, with the observance of agricultural technology without irrigation, the field yield of tomato hybrid F1 Donskoi on average for three years of research was 31.9 t/ha, with irrigation 48.5 t/ha, incl. standard production 42.6 t/ha.

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