bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fundamental Analyses and Observations of Liquid Droplet on Aluminum Surface for Heat Exchangers
Authors: Charoensuk N. , Sae-kung C. , Charoensuk J. , Hirai S. , Treetong A. , Lilavivat V. 
Published: October 2019

Abstract
Aluminum is one of the most popular materials in the industry because of lightweight Furthermore, the heat exchanger is using more aluminum rather than cumbersome and costly copper inside the system. Nowadays, all of the low-temperature heat exchanger fins are aluminum. However, when the heat exchanger is used for a long time the fin of the heat exchanger will accumulate contamination inside such as dust. The existence of contamination has strongly effect heat exchanger system performance. In this study, the physical of the water droplet with the different surface roughness (Ra) on the aluminum surfaces were studied. Hence, in this experiment, the liquid water droplet behaviors on the aluminum surfaces were observed by the contact angle. The interaction between liquid droplets and solid surface on the flat plate affect the contact angle of the water droplet. Liquid water droplet movements were analyzed by considering the change of the contact angle, were used to explain liquid droplet behaviors on the aluminum surface. Consequently, in this study, the liquid droplet behaviors on the aluminum surface can be used to improve the self-cleaning surface of the heat exchanger such as the air-conditioning system
Construction project team’s competencies influencing contractor business competencies
Authors: Kawesittisankhun Kittipos , Pongpeng Jakrapong 
Published: October 2019

Abstract
Consistent arrangement of contractor business competencies and project team’s competencies helps improve project operation efficiency. Key participants in the project team are project managers, engineers, and technicians. However, a review of existing literature reveals a lack of research on the causal relationship between project teams’ competencies and business competencies. Therefore, this study attempted to identify the relationship through survey contractors’ opinions. The data were analyzed using structural equation modeling (SEM). The results suggest the regression weighs presented in parenthesis that business competencies are influenced by the competencies of a project manager (0.50) and engineer (0.49). The study also discovered the influence of competencies among project teams; that is, technician competencies influence engineer competencies (0.87), and engineer competencies influence project manager competencies (0.55). With the causal relationship between the project team’s competencies and business competencies, contractors can suitably allocate human resources for increasing their project operation efficiency.
Computing the maximum value engineering for a building construction costs using linear programming applications.
Authors: Siripob K , Vuttichai C 
Published: October 2019

Abstract
Value Engineering is an effective technique for reducing costs, increasing productivity and improving quality. Value engineering is a technique directed toward analyzing the functions of an item or process to determine best value or the best relationship between worth and cost functions. Building construction costs comprises 2 major components as materials cost and labor cost. Linear Programming (LP) is a quantitative technique by means of a mathematical modeling technique designs to solve allocation problem (resource allocation) to achieve the maximum profit or lowest cost. Therefore the authors bringing the advantages of both as value engineering and linear programming combined to work together in order to be able to effectively reduced building construction costs or create maximum value engineering that can be best used in the construction projects. Aim of this paper shows the reduction of building construction cost as to achieved the targets for reducing building construction cost or maximum value engineering as much as possible that leads to efficiency of cost reduction by used of principles of value engineering to apply with using linear programming for the reduction of building construction costs based on the material costs and labor costs to serve construction resource reallocation by consideration is made only 3 type construction materials as concrete, rebar and formwork because of 3 type are main component of building construction materials.
Development of Effective Lightweight Material for Construction Building.
Authors: Jarasjarungkiat Amphon , Chuaisrinual Setsawat 
Published: October 2019

Abstract
Due to an increasing trend of building construction in Thailand. Lightweight concrete has been recently introduced into the structural engineering applications. This study was aimed to investigate two aspects; the first one is studying the properties of Cellular Lightweight Concrete (CLC) and verifying that the lightweight concrete satisfies Thai Industrial Standard (TIS Standard) [12]. To verify with the TIS Standard, investigated properties of CLC are dry unit weight, water absorption and compressive strength. Researcher prepared admixtures with sand cement ratio (S/C), water cement ratio (W/C) and percentage of foam to collect statistical data and analyse. Verified by the standard, specimens that pass the standard criteria will be chosen for proper applications in manufacturing of prefabricated construction materials.
Navigation of autonomous vehicle for rubber tree orchard
Authors: Kunghun Worawut , Tantrapiwat Akapot , Chaidilokpattanakul Phudit 
Published: October 2019

Abstract
This research has studied the navigation of autonomous vehicles in rubber tree orchards. It was emphasised on the rubber tree plantation in Thailand. Due to the high labour costs in the rubber industry and the demand for natural rubber has continued to decline over the past several years. The farmer were struggled to reduce the labour costs in production. The development of autonomous vehicle technology in rubber plantation can be a way to ease the production costs, such as reducing the amount of labour in fresh latex harvesting. This work was aimed to develop algorithm of a vision system for replacement of expensive sensors used in typical autonomous vehicles. The vision system model was implemented using only one camera installed on the vehicle to search for calibrated targets which were put on the rubber tree trunk. There were two important parameters, tree row offset and target distance, which were concerned when determining the performance of the autonomous vehicle in the rubber tree orchards. In order to evaluate the accuracy of the system, a set of experiments was conducted at a distance of 1-5 meters between the target and the camera. The results were compared between the controlled environment in the laboratory and the uncontrollable environment in the real rubber plantation.
Physical properties and calorific value of briquettes produced from Palmyra palm waste with molasses binder
Authors: Utchariyajit K , Panprasert V , Chayawat L , Jungthanasombat W , Janprom P , Choatchuang M 
Published: October 2019

Abstract
This work aims to produce briquette made from Palmyra palm waste using molasses as a binder. The amount of binder to charcoal ratios was studied. The physical properties i.e., density, moisture content, ash content, volatile matters, fixed carbon, calorific value and cooking efficiency were investigated. It was found that the amount of binder had a significant effect on the quality and properties of the briquette. The results showed that the amount of binder decreased with moisture content and ash content decreased while density and calorific value increase. All briquettes produced with molasses binder pass the criteria of the Thai Community Product Standard (tcps 238/2547). These results provide an alternative energy for household use.
Antioxidant activity and Total Phenolic compounds of Fresh and Blanching Banana blossom (Musa ABB CV.Kluai “Namwa”) in Thailand
Authors: Thaweesang Sarisa 
Published: October 2019

Abstract
Fresh and blanching banana blossom were extracted by ethanol. Fresh banana florets crude extract had the highest antioxidant activity 42.74% and IC50 were 1275.50µg/ml respectively. For blanching banana florets crude extract, The antioxidant activity and IC50 value were 41.78 and 1306.67 µg/ml respectively. Antioxidant activity of fresh banana bract crude extract and blanching banana bract crude extract were only 28.43% and 13.33% respectively. Results also showed could not evaluation of IC50 value for banana bract crude extract. However, Banana blossom able to antioxidant activity. Banana florets crude extract showed effective antioxidant activity more than banana bract crude extract (p<0.05). Blanching banana florets and fresh banana florets contained the highest total phenolic compounds were 1380.58 µg GAE/g and 1091.30 µg GAE/g respectively. While banana bract had low phenolic compounds. The food processing for consumption did not affected to total phenolic compounds. It was therefore suggested that banana florets have potential as good source of natural antioxidant.
Conversion of Sodium Lactate to Lactic acid and Sodium Hydroxide with Cation Exchange Membrane Electrolytic Cell
Authors: Sirisangsawang R , Samaikaew P , Chotiviriyavanich B , Kitchaiya P 
Published: October 2019

Abstract
This research conversion of sodium lactate to lactic acid and sodium hydroxide with electrolysis technique combined with cation exchange membrane (CEM). The electrolytic cell has effective membrane area of 144 cm2. Experiments were carried out by feeding sodium lactate solution which was prepared with alkaline degradation of invert sugar. This solution was feed through the anolyte. The process was studied in terms of the initial concentration of sodium lactate (i.e. 0.75, 1.20 and 1.50 M) and the applied voltage (i.e. 4, 6 and 8 volt) to assess the efficiency of separation. The results suggested that the transport of sodium ion through the membrane was proportional to the applied voltage but it was not depend on sodium lactate concentration which was used as feed. The current efficiency increased as the applied voltage increased. Conversely, the energy consumption with respect to sodium hydroxide production increased with both factors. From this experiment, it was found that the highest lactic acid recovery was 55.5% at 4 volt and initial lactate concentration of 0.75 M.
Effect of Distillation Methods on Citronella Oil (Cymbopogon nardus) Content
Authors: Phovisay S , Briatia X , Chanthakoun V , Savathvong S 
Published: October 2019

Abstract
Citronella grass (Cymbopogon nardus) is a permanently growing grass belonging to Poaceae grass family. Which plant is native to the tropical region, especially the south-eastern Asia regions. The Citronella oil is used wildly in industrial product as insect repellent, perfumery, cosmetic, diffusion aromatherapy and health benefit. The aim of this study was investigated the efficiency of distillation methods on citronella oil content by laboratory scale, modified alcohol boiler and extractor machine. In addition, possibility of Citronella oil was reviewed to further product development. The three distillations processing were compared on essential oil content that found the distillation method significantly influenced essential oil content (p<0.05). The extractor machine showed highest yield 6.85 ± 0.07 ml/Kg followed by laboratory scale 4.55 ± 0.31 ml/Kg and modified alcohol boiler 2.35 ± 0.16 ml/Kg. The possibility of product development was found citronella oil using on mosquito repellent is recommended at a concentrations of 5-10% and massage oil should not higher than 1.0%. The strong concentration can cause skin sensitivity. Therefore, the optimized concentration should be observed in product development, and value investing. \
Evaluation and Improvement of Unscheduled Removal Component Reliability Calculation Method with No Fault Found (NFF) Shop Finding Results
Authors: Suciati F K , Suwondo E 
Published: October 2019

Abstract
The test results of the removed aircraft components are classified into No Fault Found (NFF), Real Reason Conform (RRC) and Other Defect Found (ODF). Corrective actions will be taken on findings that are classified as RRC and ODF, while for the NFF category no action will be taken. In the MRO XYZ, for the NFF category, the age of the component during the removal is included into the failure data. Moreover, the reliability calculation in the MRO XYZ uses the 2-parameters Weibull distribution. These will result in unrepresentative reliability calculation. Therefore, it is necessary to evaluate the method. The research compares the results of the reliability calculation between the 2-parameters and the 3-parameters Weibull distributions by applying them to several part numbers data. Furthermore, the reliability calculation using the 3-parameters Weibull is also applied to the data where the NFF category is not included the failure data. The location parameter, γ, is calculated using the Muralidhar method. The research also develops an excel VBA macro-based tool for reliability calculation. The results of the reliability calculation show that there is a significant difference of the failure rate between using the 2-parameters and the 3-parameters Weibull distribution. The failure rate calculated by using the 3-parameters Weibull distribution for the data where NFF category is not included into the failure data show a significant different as compared to the method used by the MRO XYZ, where the difference is affected by the percentage of NFF items in the failure data.
Developing new aviation management postgraduate program in responding to Industry 4.0: Key findings from multistages-multilevels market study
Authors: Ghafar N H , Rahman N A A , Mohammad M F N , Shah M Z , Hassan F 
Published: October 2019

Abstract
Most aviation related academic programs in Malaysia were designed centred around the aerospace engineering and aircraft engineering technologies. However, the emergence of Industry 4.0 demands aviation talents especially the non-management aviation practitioners such as aircraft engineers and other technical personnel to equip themselves with certain management-related skills. Hence, there is a pressing need for an advanced industry-driven and practitioners-based academic program in aviation management suits for various categories of aviation practitioners. The aims of this study are to explore the employability prospective of aviation managers (first stage); to examine the Industry 4.0-related management skills needed by aviation companies (second stage); and to analyse the personal development intention of individual practitioners (third stage). This study employed multistage-multilevel analysis on a single-case market study in a Malaysian aviation technical training university. Findings from this study are segregated into three levels. At the industry level, it is concluded that there is a brighter employability prospect of aviation managers at least until 2030. At the organizational level, there is an urgent need for the aviation professionals to upgrade themselves with managerial skills relevant to the Industry 4.0 such as data driven scenario planning, big data analysis, and collaborative decision making. At the individual practitioner’s level, finding indicates that there is an increasing awareness among the individual aviation professional in particular the technical and engineering professional to engage in personal development in aviation management at postgraduate level. The key contribution of this case study is that, through multistages and multilevels analysis, it not only expands the robustness of the market study on new postgraduate program development but also able to incorporate the perspectives of different aviation stakeholders group i.e. the aviation industry, aviation organizations, and individual aviation talents. This multistage-multilevel model can facilitate university’s policy makers to design future industry-based and practitioners-driven development program meant for industry practitioners.
Optimization of an Annular Combustion Chamber for Micro Turbo Jet System
Authors: Habibi F I , Hartono F , Prayogo H 
Published: October 2019

Abstract
This Annular combustion Chamber is designed for micro turbo jet engine. Combustion chamber is positioned in between compressor and turbine of turbojet. Combustion chamber is designed to increase enthalpy without significant pressure loss. Existing combustion chamber is designed by conventional method of trial and error. To further increase its performance then a optimization is needed. The geometry of the combustion chamber is optimized to maximized efficiency, minimized Pattern Factor, minimized pressure loss and lower temperature on the combustion wall. Varying Parameter is chosen based on Sensitivity Analysis with Spearman Correlation method to choose influential changes on geometry. After sampling process with Latin Hypercube Sampling (LHS) method and followed by interpolation with Kriging method, the combustion chamber then optimized using Multi Objective Genetic-Algorithm (MOGA). Performance of the combustion chamber then evaluated by numerical simulation. The combustion chamber will be chosen if it fulfilled pressure loss and temperature on wall criteria. Final design give better performance with a little increase in efficiency and good Pattern Factor.
The design of noise attenuation for gas turbine GTS 22 engine
Authors: Pinandhita L R , Hartono F , Prasetiyo I 
Published: October 2019

Abstract
Nowadays, awareness of global society to the green concept where life should be in harmony with nature has been increasing. One of the ideas in the green concept is to reduce excessive sound exposures or noise. Within this context, gas turbine GTS 22 engine is one of mechanical system that generates a very high sound pressure level. Hence, it is instructive to develop noise controls for the gas turbine in order to have acceptable sound pressure level. This research is focused on the design of muffler as noise control treatment after carefully analyzing the dominant noise spectrum of the gas turbine. In this paper, numerical approach is employed to design the muffler. The results are then validated by experimental ones. Moreover, noise reduction (NR) is used to assess the muffler performances. The design of muffler in this research contains all of combination treatment: area cross section expansion chamber, perforated system (micro perforated panel), porous material, partition chamber and concentric tube. The chosen final design of muffler is combination treatment design where NR 38.77 dB is present. This NR leads to sound pressure level of 80.82 dB or 68.95 dBA exist after the muffler applied on the exhaust of gas turbine. The deviation of experimental results compared to numerical ones is 7.14% in average. Moreover, the pressure drop (ΔP) of the muffler is only 0.4042% which is acceptable to keep the mechanical performance.
Health Condition Evaluation of Servo Turret Based on Time Sequence Signal Feature Map
Authors: Chen W Z , Chen F , Ma T , Xu B B 
Published: October 2019

Abstract
The health condition of servo turret depends machining quality of CNC lathe. Performance tests of servo turret are taken to evaluate the health condition and overall status during its service life. This paper selects the core signals during one tool change-cutting cycle from multichannel physical signals and describes the performance of tool change-cutting cycle by defining a series of feature matrixes. In order to clearly and visually express the health condition of different working stages and tool position, a multidimensional features map is designed according to the combination of different time sequence feature matrixes. The above method is applied on a servo turret test platform which is equipped to acquire abundant signals. The result shows that the feature map clearly defines the health condition with one easily interpreted picture instead of unarranged signals. The proposed method provides a new idea of feature selection and visual expression, which can be an instructive tool for health evaluation and fault isolation.
Effect of Reacting Temperature on the Microstructure and Electronic Property of Self-ordered TiO2 Nanotube Arrays
Authors: Yan Jiangyi 
Published: October 2019

Abstract
At present, with the rapid development of nanoscience, nanotubes have become an important part of nanomaterials. As a new type of multifunctional semiconductor nanotube material, the self-ordered TiO2 nanotube arrays (TNTs) have excellent optical and electrical properties, and they have a very wide application prospects in modern industrial fields. By using the method of anodic oxidation, the specific influence of reaction temperature on the microstructure and electrochemical properties of TNTs under the condition of acid system was investigated by the way of controlling variables. The results show that the lengths of TNTs and the thickness of the barrier film decrease with increasing temperature, and which is opposite in the radius and tube wall thickness. Additionally, in electrochemical properties of TNTs, the equivalent electrochemical impedance and crystallinity usually decrease with increasing of the temperature.
The Preparation of Highly Transparent Layered Double Hydroxides (LDHs)-Poly(Methyl Methacrylate) (PMMA) Nanocomposites Sheets by Batch Cell Polymerization Method
Authors: Joonlapak K , Wiwattanakul P , Jirathampradhab T , Akhadejdamrong T , Wongariyakawee A , Srikhirin T 
Published: October 2019

Abstract
Enhancement polymer properties using various clay nanocomposites has been interesting in polymer technology. Herein, a preparation of transparent layered double hydroxides/poly methylmethacrylate (LDHs/PMMA) nanocomposites sheet was achieved by batch cell polymerization. Nanometre-sized MgAl-LDHs in toluene showed well dispersed suspension and was translucent, indicating delamination of LDHs stacks. To prepare PMMA-LDHs nanocomposites, the delaminated MgAl-LDHs in toluene was mixed with methymethacrylate oligomer in order to form slurry of dispersed LDHs in PMMA pre-polymer. The LDHs/PMMA nanocomposites sheet was subsequently prepared using batch cell polymerization at 60oC for 5 hours in water bath and it was then post curing at 80oC for 30 minutes. The optical properties of MgAl-LDHs/PMMA nanocomposites were strongly depending upon a dispersion behaviour of MgAl-LDHs.
Chip Geometry Modelling of 2-Dimension Ultrasonic Vibration Assisted Machining (2D UVAM) on Micromilling Machine With End Mill
Authors: Kiswanto Gandjar , Johan Y R , Poly  , Ko T. J. 
Published: October 2019

Abstract
The needs of miniaturized products have increased a lot in this ever-changing world. This makes the micromanufacturing technologies develop fast in order to keep up with this higher needs and to meet the required quality of a product. One of the developed technologies is ultrasonic vibration assisted machining (UVAM). UVAM is different than conventional machining because of the way the cutting tool move relative to the workpiece. This different cutting phenomenon produces a different chip geometry than the conventional machining. The purpose of this paper is to give an understanding through chip geometry models about how UVAM can be a better cutting method rather than conventional milling. MATLAB is used in order to do the modelling of theoretical chip geometry. The approach used in this study is by calculating where the cutting tool edge is in a given unit of time before and after the ultrasonic vibration is induced to the workpiece in X-Y dimension. A characteristic in the cutting edge called the bottom cutting edge angle is also considered. By comparing the two chip geometries, some benefits that UVAM gives are explained.