bluuebunny/crossref_metadata_2025_split huggingface dataset:
An IoT Based Home Automation System
Authors: Paul Sridip , Indragandhi V , Kumar N K , Raja Singh R , Subramaniyaswamy V 
Published: October 2019

Abstract
Industry experts, corporate heads, and chiefs of businesses all agree that we are on the verge of what is to be the Fourth Industrial Revolution – which will be more disrupting and impactful than any we’ve seen in the history of mankind. Automation is without a doubt, one of the pillars of this Industrial Revolution. Consumers worldwide prefer automated systems over manual ones. Today the Internet has become a part and parcel of daily life. We cannot imagine a life without the internet. In this paper we present to you an Automation System which is a real-world application of a fast- growing emerging Internet Technology, The Internet of Things (IoT). A Home Automation System, based on the IOT, makes the consumers life easier, more comfortable, faster and more secure. This cutting-edge technology allows the consumer to have complete control over his or her home appliances and devices from anywhere in the world, via a web browser with an internet connection. The simulation designed by us, in this paper, is a small approximation of a much larger real-world system, the concepts, approach and methodology however, remaining the same.
A Review on Dynamic Voltage Restorer in power systems concerned to the issues of Power Quality
Authors: Pavan Babu Bandla , Indragandhi V 
Published: October 2019

Abstract
Power Quality issues are the important concepts for all types of electricity usage consumers due to increase in power demand at different levels. For achieving power demanded, the power grid is incorporated with single or integrated renewable energy sources which resembles in rise of additional power quality issues than in regular isolated system. In this, a detailed review on different nature of power quality issues, monitoring devices of power quality & power quality mitigation especially by the dynamic voltage restorer-DVR has been explained. A review on DVR for power quality issues like voltage swell, sag, flickers, imbalance, reactive power imbalance and harmonics with distinct power circuit structure and the detailed control strategies for mitigating the mentioned issues is presented in this paper.
Evaluation of brazed monolayer CBN grinding wheel on high-speed steel (HSS)
Authors: Pal Bhaskar , Muralidhar  , Adhikary Nepal 
Published: October 2019

Abstract
Shaping and forming of high-speed steel (HSS) tool with complicated geometry has been a challenge for the cutting tool industry. HSS grades generally display high hardness at high temperature and high wear resistance due to its constituent elements like a high amount of tungsten with the addition of chromium, vanadium and cobalt. HSS being used extensively in the manufacturing industry for machining difficult-cut-materials due to its high hardness and abrasion resistance. CBN grinding wheel is being used extensively for shaping the HSS. In this work, cBN brazed wheel with monolayer configuration is being used to grind HSS. Usually, reasonably uniform grit distribution, adequate spacing between the grits, 50-70% grit protrusion over the brazed surface and strong chemical bond strength are key features of brazed CBN wheel to perform satisfactorily. In the current investigation, the brazed CBN wheel showed limitations of its capability while grinding HSS in dry condition. The high chip load due to adverse grinding combinations, high attrition wear of grit due to its interaction with constituent elements like tungsten, chromium, vanadium and cobalt, fracturing and pull out of the grits are the limitation of the brazed wheel. The paper also concluded with facts to overcome limitations of brazed CBN wheel.
Mining and analyzing process similarity of product module for DPIPP based on PLM database
Authors: Peng W P , Zhang T , Zhang Q H , Ni S W 
Published: October 2019

Abstract
A distributed parametrized intelligent product platform (DPIPP) on basis of product lifecycle management database has been proposed to reveal the interrelationships between product attributes (i.e., structure, function or process) in recent years. Product modules in DPIPP are classified according to composition and structure of products. Components belonging to different product modules may have an identical or similar process route and could be manufacture with the same type of equipment. Mining and analysing the process similarity of product modules can effectively reduce production cost and improve production efficiency. In this paper, a novel product data mining approach with an improved Euclidean distance formula is proposed to research the product module process similarity, which aims to illustrate the effect of the structural change on the product process, then provide theoretical support for improving production patterns and reducing production costs to adapt to mass customization. The feasibility and effectiveness of the method are verified via the analysing of the process similarities among three different types of valves.
Research of the Green Product Design and Evaluation Methods based on Concurrent Engineering
Authors: Xiaona Li , Xin Liu 
Published: October 2019

Abstract
Based on the concept of concurrent engineering and green design, the framework of green concurrent engineering structure was discussed. Then the key technologies and key factors were analyzed, and the evaluation indicators and design methods of green design are studied. So product development could be controlled from the whole process in order to improve the development efficiency and product quality, and reduce the pollution to protect the environment.
Research on Changed Design of Gate Position of Window Frame of Automobile Front Door
Authors: Zhai Haorui , Xing Xin , Zheng ZhuAn , Sun Conggui , Teng Chen 
Published: October 2019

Abstract
The front door sash of the car is selected as the research object, and the design of the original gate position causes the warpage displacement of the front door sash to be large. Based on the CAE principle, using Molde×3D mold flow software analysis, it was found that the cause of the large amount of warpage deformation was flow imbalance. Then, according to the principle of flow balance, the design of the gate position was changed. The results of the mold flow analysis showed that the warpage displacement decreased from 18.5 mm to 14.1 mm, and the overall optimization was 24%. And the comparison found that the molding pressure was reduced from 224 MPa to 171 MPa (single cavity), and the clamping force was reduced from 2003 Ton to 1474 Ton (single cavity).
Research on the Trend of Structural Failures from Vehicle Body Spreader Based on ANSYS Analyses
Authors: Sun Duo , Guan Tianmin , Lei Lei 
Published: October 2019

Abstract
The operating conditions of the vehicle body spreader have been analyzed in this paper, and all the typical conditions have been applied with the nonlinear finite element analysis of the contact, aiming to ensure the safe utilization of the body spreader of tooling equipment for the production of rail vehicles. The potentially risky component locations are predicted and the weak spots are discovered on the basis of the analysis results of the static strength. The anticipation of the component failure trends shows a guiding role in the failure prediction in actual production and facilitates accident prevention.
Economic prospects of multiproduct manufacturing based on the Afrikanda deposit ores
Authors: Masloboev Vladimir , Fedoseev Sergey , Tcvetkov Pavel , Krivovichev Sergey 
Published: October 2019

Abstract
This article describes the results of the economic efficiency assessment of the Afrikanda deposit (Russia, Murmansk Region) development based on the Monte Carlo method. The project was divided into two phases: Phase 1 – production of perovskite concentrate, phase 2 - production of TiO2, Nb2O5, Ta2O5 and REE concentrate. Comparative evaluation was conducted for two options: only phase 1 and phase 1 + phase 2. Obtained results showed that the profitability as well as the payback period of the first option, which is less capital-intensive, can be in 1.5-2 higher. Despite this, the NPV of the first option is 5 times lower than the second, and there are prospects for further growing of this gap beyond the 15-year evaluation period. It was concluded that there are significant economic opportunities of the integrated deposit development, which may be implemented with additional measures of state support.
The Automatic Measurement System for Harmonic-drive Devices
Authors: Zheng Yuansong , Lou Zhifeng , Wang Xiaodong , Ling Siying 
Published: October 2019

Abstract
Harmonic-drive transmission finds many applications in industry, especially in manufacturing of industrial robots. As the key devices of an industrial robot, the harmonic drive reducers determine the robot’s performance, which includes the positioning accuracy, loading capacity, life time, etc. To satisfy the need of manufacturing high performance harmonic drive devices, development of competent measurement system is of great importance. An automatic measurement system with high-precision and multifunction is under development. The system consists of the power module, loading module, torque and rotation measuring module. The measurement and operation principle were explained. The factors affecting the accuracy of the measurement system were analysed. The control system was designed to realize the automatic loading and acquisition of torque and rotation data. The principle and measurement software of the control system were also introduced. Finally, a harmonic reducer with the gear ratio 120 was measured to verify the feasibility of the measurement system.
Evaluation and optimization of machining performance for rotary ultrasonic machining of Al/SiC composite material
Authors: Kumar Jatinder 
Published: October 2019

Abstract
In manufacturing industries, Al/SiC composite material is highly demanded due to its excellent properties. However, the difficulties in its machining restrict the application and competitiveness of this material. This investigation is aimed at studying the impact of different experimental conditions (feed rate, spindle speed, and ultrasonic power) on responses of interest (material removal rate, surface roughness, and chipping thickness) in rotary ultrasonic machining of Al/SiC composite material. The experiments have been planned by using full factorial design. Analysis of variance (ANOVA) is also employed to identify the significant factors and the optimized process settings for the different responses. The experimental results showed that feed rate was the most significant factor for material removal rate and surface roughness. However, all the factors were found to be insignificant for chipping thickness. From the surface topography analysis of the machined surface, no surface damage in the form of micro-cracks etc. was visible.
Mechanical performance of GNP/PLA nanocomposite under varied SPS process parameters
Authors: Adesina OT , Jamiru T , Sadiku ER , Durowoju MO , Ogunbiyi OF 
Published: October 2019

Abstract
The study examines the mechanical performance of GNP/PLA nanocomposite developed under varied SPS process parameters. The samples were fabricated using a novel Spark Plasma Sintering technique. In this research, the effect of sintering process in terms of sintering pressure and temperature has been studied by focusing on the mechanical properties of GNP/PLA nanocomposites. The densification of the samples was obtained via the Archimedes’ principle while hardness results was obtained using the micro hardness tester. The results show that the density and hardness increased with increasing sintering temperature and pressure. The samples were prepared under uniaxial pressure of 20 MPa and 30 MPa. The sintering temperature of 135 °C and 160 °C was used in developing the samples. The synergetic influence of these process parameters and graphene inclusion was significant in obtaining above 99% densification and with a concurrent enhancement in the hardness property of the developed composite.
Selection of the optimal heat treatment conditions using advanced phase transformation models
Authors: Bzowski Krzysztof , Rauch Lukasz , Pietrzyk Maciej 
Published: October 2019

AbstractThe paper focuses on the problem of optimal cooling cycle selection for steel sheets after hot rolling in order to obtain a given phase composition using complex numerical model. The proposed model driven by diffusion of carbon with the moving boundary (Stefan problem) was designed and implemented on the basis of Level Set equations coupled with diffusion equation. Application of implicit method for interface evolution allows to overcome the limitations associated with the complicated representation of material microstructure, but also in a natural way reflects the impact of front curvature and influence of chemical forces on the velocity of the interface. The article discusses the details of the model as well as the applied optimization technique. Three test scenarios are analyzed and the results are discussed.
Automatic Deformation Measurement Equipment for PZT Wafer
Authors: Ren T Q , Li X , Lou Z F , Wang X D 
Published: October 2019

Abstract
PZT wafers are the core driving parts to adjust the laser resonant cavity length of laser gyro. Usually, the PZT wafers are used in pairs, and the paired PZT wafers need to have close piezoelectric coefficient. To handle the pairing and screening of PZT wafers, an automatic deformation measuring equipment is developed by using a cartesian-coordinate robot frame, in which multiple photoelectric sensors are used to detect the key motion position automatically. Besides, vacuum absorption technology is also used in picking, carrying and placing PZT wafers to protect them from accidental injury. When driving voltage is applied to PZT wafer, the resulting micro displacement is measured by dual opposite inductive probes with relative measurement principle. This measuring strategy eliminates the influence of placement error of PZT wafers on the final measuring result. Compared with the existing manual measurement, the efficiency can be improved by 60%. The experimental results show that the equipment has high reliability and consistency. The measurement accuracy in full scale is no more than 0.5 μm and the repeat accuracy is superior to 0.1 μm.
Molecular Dynamics Simulation of Heat Transfer at Contact Interface of Hot Forming Die
Authors: Lu Baoshan , Wang Leigang , Ma Xiang 
Published: October 2019

Abstract
During metal hot forming process, the billet and the die interact by contact under high temperature, high pressure and severe sliding. In this paper, an atomistic approach is utilized to study the behaviour of heat transfer at the contact interface of hot forming die and the material. Based on non-equilibrium molecular dynamics and phonon scattering theory, the phonon heat transfer process at the billet/die rough interface at nano-scale is analysed. The effects of interfacial lattice defect concentration and average interfacial temperature on the phonon heat transfer coefficient are examined. It is found that when the lattice defect concentration increases the phonon mismatch at the interface deteriorates and the interfacial thermal resistance increases, which leads to a sharp decrease in phonon heat transfer coefficient. A higher temperature of the contact body and a higher average interface temperature lead to a higher probability of inelastic scattering of phonons at the interface. Moreover, the high frequency phonons at high temperature might be decomposed into two or more low frequency phonons during the energy transmission, which increases the propagation of phonon at the interface; thus the phonon heat transfer coefficient increases accordingly.
Minimization of Makespan Using FCFS and Gupta Method Comparison in Machine Spare Part Industry
Authors: Siregar I 
Published: October 2019

Abstract
Companies that produce spare parts for manufacturing industry machines are experiencing rapid development. The company produces production activities based on job orders where the process uses FCFS (First Come First Served) rules. Company scheduling often experiences delays especially on products have the same flow. The study was conducted to find the optimal sequence of scheduling with makespan minimization criteria using the Gupta Method and FCFS Method. The FCFS method used by the company produces makespan of 12.160,21 minutes = 202,67 hours. The recommendation method has a better level of performance compared to the company shown in efficiency index (EI) and relative error (RE). The EI value of the Gupta method is 1.14 which is indicates that the Gupta method has a good performance compared to the FCFS method. While the Gupta method RE value is 13,76%. The conclusion is Gupta method produces the minimum makespan value with a reduction of makespan of 178,15 hours. The Gupta method is a better method than FCFS method, which is shorter makespan, tardiness and flow time.
FMEA Approach to Analysis Crude Palm Oil Quality Parameters
Authors: Rizkya I , Syahputri K , Sari R M , Haryono J M 
Published: October 2019

Abstract
Palm oil companies are an important part of development in all countries, including in Indonesia. The development of the oil palm plantation business in Indonesia has experienced significantly progress. This condition can be seen from many companies set up the Palm Oil Factory (PKS) and the increasing variety of products can be produced from palm oil so that it can increase the selling value of the product. There are many problems faced by the palm oil industry in producing a product, one of them which is a quality problem. In the Crude Palm Oil (CPO) production process, it is known that the products produced are not in CPO quality standards. Products are not in this standard result in decreasing product quality and causing major problems for the company. Therefore, it is carried out to overcome problems above, an analysis is carried out by identifying the causes of the decline in the quality of CPO. Based on the results of the study, the highest RPN value of 280 was obtained with the cause of failure, namely the quality of raw materials is not good and is a type of failure which is the top priority for immediate improvement. The recommendation improvement can be done to prevent disability to carry out careful inspection of raw materials.
Determination of Total Labor Plant 1 using Workload Analysis (WLA) Method In Compound Fertilizer’s Industry
Authors: Ariani Farida , Siregar Khawarita , Tugiman  
Published: October 2019

Abstract
The compound fertilizer’s industry did trading as a first business in compost using Mahkota brand which is a subsidiary of Wilmar Group Indonesia, which became one of the largest agribusiness companies in the world. The results of preliminary observations show that the number of activities and methods of work done by each operator varies. Thus, the calculation workload against any worker in Plant 1 using Work Load Analysis (WLA) to calculate the percentage of productivity using the Work Sampling method. Furthermore, the excellent determination rating factor value using Westinghouse. The high determination Allowance values using tables Industrial Labor Organization (ILO). The results of the workload calculation show that the workload accepted by six workers is high because the value is above 100%. Proposed recommendations for improvements presented in connection with high workload conditions is to increase the number of workers as much as two workers so that the number of workers in Plant 1 is eight workers.
Reducing Waste in Spare Part Production Process with Lean Manufacturing Approach
Authors: Siregar Khawarita , Ariani Farida , Tambunan Mangara M 
Published: October 2019

Abstract
In the current era of globalization, competition in the industrial world is increasingly competitive, and then the manufacturing industry must be able to optimize its ability to compete. PT. ABC is a battery production manufacturing company that also produces engine parts for use on the company’s production floor. The inability to meet the punch needs to be used on the battery production floor is one of the problems faced by the company. In the punch production process, some activities are not needed such as operators looking for irregularly located support devices and operators repeatedly measuring the results of object feeding in the manual turning process because there is no standard measurement, which causes the grace period to belong. This study aims to reduce waste in a series of production processes or not valuable adding activities and shortening the total waiting time using the Value Stream Mapping tool. To identify waste, you must first know which activities are of added value and not value added. One method proposed to fix this problem is Lean Manufacturing. The result of using the Lean Manufacturing method is the proposed improvement is to eliminate activities that are less efficient and can reduce production time by 2897 seconds and reduce production activities with 17 events so that the production process is more efficient than before. It can be concluded that the waste that occurs is over processing and movement caused by work methods and machinery.
Optimization in Critical Work Center Using Theory of Constraints
Authors: Sari R M , Syahputri K , Rizkya I , Siboro N 
Published: October 2019

Abstract
Many companies experience problems or problems in the production process. One of the problems disturb the production process is the bottleneck. The pellet industry has problems in pellets production. The capacity imbalance available between the drying station and the milling station causes the pellet making process to accumulate resulting in a bottleneck. Therefore, an analysis is carried can be done to overcome these problems by overtime. Overtime is carried out for 1 hour on each shift and 2 hours on certain shifts in July 2019 period and September 2019 and the number of working hours becomes 18 working hours and 19 working hours from the previous one which is only 16 working hours at the milling work station because it is seen from a negative variance value and the percentage of load is below 100%. This shows that overtime can be effective to eliminate constraints.
Design of A Convolutional Neural Network System to Increase Diagnostic Efficiency of Alzheimer’s Disease
Authors: Al-azdi Faransi , Passarella R , Susanto A , Caroline C , Puspa RA Dwi , Yudha T W 
Published: October 2019

Abstract
The most common degenerative neural disease, Alzheimer’s disease (AD), is insidious and almost always requires imaging modalities to be diagnosed early. MRI is the most common one used, but requires timely interpretation. Here we develop a convolutional neural network (CNN)-based system that determines whether a brain MR image has AD or normal. First, feature extraction is performed to separate various parts of the brain. Then, the data is processed to differentiate normal brain from AD brain, solely using MR image. Finally, the neural network is supplemented using data from the patient’s history and physical examination. In this first phase, we were able to extract features from the brain MR image, initially by masking the image and separating the white matter, grey matter, and cerebrospinal fluid called the grey level co-occurrence method (GLCM). This method is able to using a convolutional neural network.