Jordan Journal of Mechanical and Industrial Engineering

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JJMIE Volume 14

Complete Journal

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Number 1 (Special Issue )
Number 2



Editorial Preface

Contents of Number 1

Optimization Design and Analysis of Rotary Indexing Mechanism of Tool Magazine in Machining Center

Jun Zhang, Shuli Sun, Hoang Anh Tuan

Online Monitoring and Early Warning Technology of Repeated Multiple Blackouts in Distribution Network Based on Multi-source Information Fusion and Delphi Method

Wensi Cao ,Mingming Xu , Rongze Niu , Qing Wu , Ruirui Xie

Contact Mechanics Analysis and Optimization of Shape Modification of Electric Vehicle Gearbox  

Qingyong Zhang, Yaru Wang, Weiping Lin, Yongjun Luo, Xingjian Wu  

Design of Digital Aerial Photography System for Unmanned Aerial Vehicle Based on Wireless Sensor Network

Rui Wang, Nian-chu Wu, Xin-li Yu

The Application of Closed Hydraulic System of Hoisting Mechanism in Auto Crane

Duwei Nie, Changxing Fu

Monitoring Algorithm for Speed Information of Autonomous Vehicles Based on Magnetoresistive Sensor

Yu Tang

An Adaptive Scheduling Method for Resources in Used Automobile Parts Recycling

Pengfei Ning

Intelligent Remote Monitoring System for Minor Faults of Intelligent Unmanned Vehicle

Jia Tao, Yuchen Jia, Yuan Gao

Review Study of Physical and Mechanical Characteristics on Mixed Soil with Scrap Tire Rubber Particles

Jianguang Bai, Yan Zhang, Shuzheng Wu

Design of Intelligent Obstacle Avoidance System for Fully Automated Unmanned Vehicle Based on Laser Ranging

Chunyuan Li

Distributed Multi-level Inventory Algorithms for Automotive Maintenance Spare Parts Based on Centralized Control Model

Jiangang Li

Design of Path Tracking Control System for UAV Based on Adaptive Preview Method

Yiping Li

Optimization of Clutchless AMT Shift Control Strategy for Electric Vehicles

Jingpu Li, Pengcheng Sheng, Kaikai Shao

Deep Drainage Detection System for Inland Vessels Based on Machine Vision

Hechuang Wang


Regional Coordination Control Method of Rail Transit Signal Based on Unmanned Driver

Yongcheng Wu, Changqiong Yang, Lanlan Huangfu

Unmanned Vehicle Route Tracking Method Based on Video Image Processing

Yiyi Zhu, Na Guo

Acceleration Sensor Abnormality Detection Method for Axle Box of Unmanned Vehicle

Jianhu Gong

Driving Pattern Recognition of Hybrid Electric Vehicles Based on Multi-hierarchical Fuzzy Comprehensive Evaluation

Qingyong Zhang, Zhenfei Lu, Yaru Wang, Weiping Lin

Vibration Fatigue Analysis and Optimization Design of a Light-truck Urea Box Bracket

Zhenqi Yu, Huifang Jia , Xingyuan Huang

Application of Improved Particle Swarm Optimization in Gear Fault Diagnosis of Automobile Transmission

Aibing Wang, Jianwei Liang, Yapeng Liu






 Contents of Number 2

Simulation and Performance Evaluation of CO2 Booster System Integrated with Modified Evaporative Cooling for Supermarket Application in India

Manju Lata, Rishabh Yadav, Dileep Kumar Gupta.


Abstract: CO2 is one of the rediscovered, ecologically safe refrigerants with very low global warming potential which has favorable thermo-physical properties. The CO2 booster refrigeration system has already been identified as a suitable choice for the supermarket application to replace the conventional R404A (high GWP) system. However, the performance of the CO2 booster system is still comparatively lower than the conventional R404A system, especially when operated at high ambient temperature, which compels to improve the performance of the CO2 system with suitable modification. In the present work, an attempt has been made to examine the year-round performance of the basic booster system and basic booster system with the integrated modified evaporative cooling system for Ahmedabad city weather conditions (Hot and Dry climate region). The experimentally investigated and validated data are used for the modified evaporative cooling system with real-time weather data taken from the weather station installed in the institute. Subsequently, the performance of the BBS, BBS-MEC, and R404A systems have been compared in terms of COP, power consumption, and seasonal energy efficiency ratio. The results show that for BBS-MEC, SEER enhances by 28.66% and annual power consumption decreases by 22.89% as compared with BBS. In addition to that, the total environment warming impact is also found significantly lower in the case of the BBS-MEC system.

Keywords: CO2 refrigeration, booster system, evaporative cooling, R744, natural refrigerator, supermarket;


Experimental Investigation of the Performance of a Vortex Tube with Conical Control Valve

Ahmad Al-Qaisia, Jamil Al Asfar , Nabeel Abu Shaban, Areej Eniezat


Abstract: The Vortex tube (Ranque-Hilsch type/ RHVT) is a simple device used to obtain both cold and hot gas streams simultaneously from a compressed gas. The obtained cold gas is widely used in many low temperature commercial applications. In this work, the performance of the vortex tube was examined experimentally by studying the effects of inlet pressure variations, conical valve opening percentage, tube diameter and hot gas tube length on the thermal performance of the tube. Four tubes with diameters 14, 21, 25 and 32 mm with four hot exhaust gas lengths; 25, 50, 75 and 100 cm were tested experimentally and the obtained data were analyzed. It was observed that the 75 cm length of the hot side length, gives the maximum coefficient of performance for RHVT, as well as the maximum cold temperature reduction, either with or without insulation. Furthermore, the thermal performance of the RHVT was optimum for the two inner diameters; 14 and 21mm. This indicates that, when the ratio of hot side length to inner diameter (Lh/D) lies between 36 and 50, then the thermal performanmce of the RHVT is optimum and is highly recommended, which agrees with the results published in previous studies and invesitigations.

Keywords: Vortex tube, Conical control valve, experimental, performance


Numerical Analysis of Combustion Characteristics and Emission of Dual and Tri-Fuel Diesel Engine under Two Engine Speeds

Radhwan Ali , Saddam H. Raheemah,  Nabeel N. Al-Mayyahi


Abstract: The numerical simulations were performed on a single-cylinder diesel engine that operates using the direct injection technique. In this study, a two-dimensional CFD code was used in order to evaluate the emissions and combustion characteristics of a dual-fuel operation (diesel-H2, diesel-NG), tri-fuel operation (diesel-NG-H2), and normal operation of a diesel engine under different engine speeds. The percentage of diesel fuel was 100% and 50% with the remaining fraction of different mixtures of NG-H2 (100%–0%, 50%–50%, and 0%–100%). The results showed an increase in peak temperature and pressure when gaseous fuels were added and influenced directly by H2 percentage. With diesel-H2, peak in-cylinder temperature and pressure are found. The higher temperature of combustion as a result of a rising fraction of H2 in the fuel blend proves the formation of NO, whereas increasing the fraction of diesel fuel limits the increase of NO emission, and rising percentage of H2 linearly increases NO. CO emission is mostly effected by NG fraction, but the rising fraction of H2 decreases CO closer to normal diesel operation. The mixture of 50% NG and 50% H2 produces optimum stability between combustion characteristics and emissions. However, high diesel fraction content is preferable for sustaining low combustion temperature, high thermal efficiency by avoiding excessive heat loss, reduces ignition delay, and peak in-cylinder pressure.

Keywords: Diesel engine; Dual fuel engine; NG; Hydrogen


Finite Element Formulation of Internally Balanced Blatz – Ko Material Model

Ashraf Hadoush


Abstract : Material constitutive models often include internal variables in order to capture realistic mechanical effects such as viscosity. Recent work for compressible hyperelastic material is developed based on applying the argument of calculus variation to two-factor multiplicative decomposition of the deformation gradient. The finite element formulation for this new treatment is developed, however, the implementation sheds light on a special form of constitutive model. In particular, the material model is a function of the first and third invariants of new quantities derived from the counterparts of the multiplicative decomposition. These new quantities are defined in analogy to the right Cauchy Green tensor. This work demonstrates the required treatment for a special material model that is formulated using the second and third principal invariants of these new derived quantities. Mainly, the treatment simplifies the internal balance equation that emerges from the variational treatment. This facilitates the linearization procedure of this new formulation for internally balanced compressible hyperelastic material. The present work permits the future use of more complicated internally balanced hyperelastic models

Keywords: Hyperelasticity; internal balance; finite element


Hasty Fault Diagnosis of a Rotating Machinery Hinge on Stalwart Trippy Classifier with Robust Harmonized Swan Machine

Sumit Kumar Sar, Ramesh Kumar

Abstract: Monitoring with fault diagnosis of machineries is critically important for production efficiency and plant safety in modern enterprises. The process of fault diagnosis along with extracting representative features from the vibrational signal with the existing Harmonised Swan Machine feature extraction technique resulted in high noise sensitivity, mixing mode problem and data loss. Moreover, measuring the correlation between the features with the existing fault diagnosis researches suffers from learning time limitations and memory constraints. Thus to commensurate a perfect diagnosis, in this research a “Robust Harmonised Swan Machine (RHSM) with Stalwart Trippy classifier” is formulated in which the iterative threshold VMD (Variational Mode Decomposition) estimation of each mode satisfying a self-consistency nature in decomposition method of RHSM is performed which in turn resolves the missing sample problem eminently independent of the signal type. Moreover, reinforcement learning uses a greedy layer wise approach empowering quick and dynamic sorts without repetition and accuracy thus measures the correlation between the features to classify the faulty features extremely thereby it takes only less memory constraint with less learning time.

Keywords : Robust Harmonized Swan Machine, Stalwart Trippy Classifier, RMS, Crest factor, Kurtosis, feature Extraction


Designing Food Packages to Attract Customers: A Systematic Approach

Sa’Ed M. Salhieh

Abstract: Packages are considered an influential tool used to sell food products by communicating certain marketing messages to attract customers and influence their purchasing decision. This paper presents a systematic approach to design food product packages capable of delivering marketing messages intended to attract customers. The approach begins by identifying the main marketing messages that need to be communicated to customers. Next, perceptual maps relating customers’ preferences toward existing or new package designs are constructed to assess the package's effectiveness in delivering the marketing messages. After that, package design characteristics capable of embodying the marketing messages are identified and used as design factors within a conjoint analysis study to design new packages. The applicability of the approach was tested by designing new flavored milk packages. The results of the study showed that the approach allowed package designers to systemize their analysis of the effectiveness of food package designs in delivering the intended marketing messages, and to identify main design factors to be considered when designing a new package, and to use these design factors to develop package designs capable of attracting customers.

Keywords: food package design, new product development, package marketing messages, flavored milk, willingness to buy


Adaptive Backstepping Position Controller for PMSM Drive with Uncertainties of Mechanical Parameters

Salam Mahmoud, Mohammad Merei

Abstract: The permanent magnet synchronous motors (PMSMs) are widely used in various industrial applications because of their numerous advantages. However, the performance of conventional controllers (PID) is insufficient in PMSM nonlinear drive systems, which requires high performance. In this paper, we investigate the possible enhancements in performance by using an adaptive backstepping position controller that is designed based on the Lyapunov stability theory. The backstepping technique has been successfully applied for nonlinear systems with external disturbances. The results of the simulation indicate an improved performance due to the designed controller ability to track the position reference signal precisely unlike the conventional controller. The proposed adaptive backstepping controller has improved performance and effectiveness of the PMSM drive systems.

Keywords: Lyapunov stability theory, adaptive backstepping position controller, the permanent magnet synchronous motor(PMSM)


Design of a Vendor Managed Inventory Model for Impulse Purchase Products in a Two-level Supply Chain

David García , Daniel Palencia, Cristian Solano, Adel Mendoza

Abstract: Although there are multiple methodologies to carry out collaborative practices of inventory management, none are set up for impulse purchase products. This is a disadvantage because with the opening of new markets and the proliferation of consumer culture, the economic importance of buying products on impulse always remains relevant. In this paper, a Vendor Managed Inventory model was designed based on the direct participation of a vendor and a buyer (two-level supply chain), in order to agree on the procurement operations of a portfolio of impulse purchase products. For this proposal, a mathematical model based on classical optimization was designed to minimize inventory costs. Subsequently, a case study was conducted comparing the economic impact of the model with respect to a traditional supply agreement in a non-cooperative scenario. The results reflected positive economic effects in the implementation of the model related to the economies of scale to exploit fixed costs present in the agreement. Additionally, the conditions under which the implementation of this model grants individual and global benefits to the participating companies were validated.

Keywords: Vendor Managed Inventory, Supply chain management, Classical optimization, Impulse purchase products, Logistics





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