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Lee, Environmental Engineering Science. 2009, 26 (8):1349-1357.
Lee, Environmental engineering science. 2009, 26 (1) : 163-170.
Chen, Chemical Industry and Engineering Progress, 2005, 24(9):1050-1053 [11] W.
Zhong , Journal of Chemical Industry and Engineering(China), 2008, 59(5): 1251-1256

Kuo 3 1 Dept. of Mechanical Engineering, Univ. of Michigan, Ann Arbor, MI, USA, sukyungp@umich.edu Systems division, Korea Institute of Machinery & Materials, Taejon, Korea, sukyungp@kimm.re.kr 2 Neurological Sciences Institute of Oregon Health and Science University, Portland, OR, USA, horakf@ohsu.edu 3 Dept. of Mechanical Engineering, Univ. of Michigan, Ann Arbor, MI, USA, artkuo@umich.edu Keywords: Posture, feedback gain, scaling, initial lean.
Introduction Postural adjustability to a variety of postural perturbations plays a key role in maintaining balance.
Critical Reviews in Biomedical Engineering Vol. 13 (1985), p. 1-34
IEEE transactopms on biomedical engineering Vol. 30 (1983), p. 681-689
IEEE Transactions on Biomedical Engineering Vol. 42 (1995), p. 87-101

Effect Air Flow Rate on the Performance of Perforated Splash Fill Plate of Forced Draft Wet Cooling Tower Khairul Umurani1,4,a*, Ahmad Syuhada2,b, M.I.Maulana2,c, Zahrul Fuadi 3,d 1Doktoral Student Graduated School of Engineering ,Syiah Kuala University, Banda Aceh 23111, Indonesia 2Syiah Kuala University, Banda Aceh 23111, Indonesia 3Department of Mechanical and Industrial Engineering ,Universitas Syiah Kuala 4Universitas Muhammadiyah Sumatera Utara, Indonesia akhairulumurani@umsu.ac.id*, bahmadsyuahada@usk.ac.id, cilhammaulana@unsyiah.ac.id, dzahrul.fuadi@unsyiah.ac.id Keywords: perfotaion ratio, performance,inclined fill.
Selecting the proper filling materials can optimize system performance [20].
The results of this research are expected to significantly contribute to the field of mechanical engineering, particularly in optimizing cooling tower performance.
One of the key variables used to characterize a wet cooling tower's performance is range, specified by equation 2.
December 2020, p. 100835, 2021, https://doi.org/10.1016/j.tsep.2020.100835 [30] Khairul Umurani, Rahmatullah, Arya Rudi Nasution, M.Sayid Zuhfri, “Design and implementation of temperature measuring device using max6675 and thermocouple on wet cooling tower,” Jurnal Rekaya Material, Manufaktur Energy., vol. 7, pp. 335–342, 2024, DOI:https://doi.org/10.30596/rmme.v7i2.19801

Reliability of Buried Pipeline Using A Theory of Probability of Failure Ouk Sub Lee 1,a,∗, Dong Hyeok Kim 2,b and Seon Soon Choi3,c 1 School of Mechanical Engineering, InHa University, Incheon, 402-751, Korea 2 Department of Mechanical Engineering, InHa University, Incheon, 402-751, Korea 3 Automotive Engineering, SahmYook College, Seoul, 139-742, Korea a leeos@inha.ac.kr, bkdonghyeok77@yahoo.co.kr, cchoiss@syu.ac.kr Keywords: Buried Pipeline, Corrosion, Failure Pressure Model, Reliability, FORM(first order reliability method), Probability of Failure.
0.01078 0.01191 Linear Model f 0 0 0 9.72E-04 0 7.08E-04 7.21E-04 7.11E-04 a 1.6096 0.71739 1.53251 0.98055 0.73775 0.57867 -0.38846 0.51959 b 1.75991 1.23713 1.9403 2.47702 1.21924 1.78722 0.04721 1.69787 c 0 -0.06839 0.11718 0.87417 -0.08801 0.61939 -0.54912 0.56494 d 0 0 0.01552 0.26506 0 0.2695 -0.09307 0.25339 e 0 0 0 0.03218 0 0.04427 -0.00758 0.04205 Two-Phase Model f 0 0 0 0.00141 0 0.00268 0 0.00257 a 0.90138 0.67299 -2.28169 0.32311 -1.3556 -0.55022 -0.29503 -0.52683 b 1.42146 0.99725 -2.6282 1.67421 -1.16736 -0.28514 0.42772 -0.24004 c -0.03698 -0.12145 -1.77096 0.55839 -0.15629 -0.74453 -0.13276 -0.71982 d 0 -0.00583 -0.30986 0.21961 -0.15629 -0.13781 0.084 -0.13285 e 0 0 -0.02021 0.03104 -0.00915 -0.01111 0.02485 -0.01078 Power Model f 0 0 0 0.00155 0 0 0.00224 0 * 5 4 3 2 fNM eNM dNM cNM bNMaPF +++++= The deterministic method may not be accurate enough due to the ignorance of the uncertainty of variable, when the engineer
Kim, Key Engineering Materials, Vol. 270~270 (2004), p. 1688~1693 [3] O.
Melchers, Engineering Structures, Vol. 19, No. 12 (1997), p. 988~994 [8] S.
Haldar: Probability, Reliability and Statistical Method in Engineering Design (John Wiley & Sons, 2000)

Feasibility Study on Accessorial Limestone Injection Desulfurization System on Large Capacity Boiler WEN Zhiyong1,2, ZHANG Cheng3,a,FANG Qingyan3, and CHEN Gang3 1 Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou 510080, P R China 2 School of Energy and Power Engineering, North China Electric Power University, Baoding 071003, P R China 3 State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, P R China aCorresponding author :chengzhang@mail.hust.edu.cn Keywords: Accessorial limestone injection desulfurization system; Efficiency; Corrosion; Fouling; Abrasion.
Factors influencing the abrasion on heating surface include fly ash hardness, metal materials hardness, SiO2 and Al2O3 content in fly ash, fly ash forms and temperatrues, etc.
of 1973, the experience formula of the maximum amount of abrasion on heating surface wall were described as below[10]： (mm) (2) Table 10 The evaluation of dust concentration in flue gas before and after sorbent injection desulfurization for 660MW boiler Condition Ca/S Ratio Desulfurization Efficiency /% Dust concentration in 220t/h boiler /kg/h Dust concentration in 660MW boiler without desulfurization /kg/h Increased dust concentration in 660MW boiler after desulfurization /kg/h 1 1.87 69.9 7562.06 25136.32 1200.66 2 1.33 61.5 7371.9 25029.34 1093.68 3 0.8 55.3 7180.14 24874.19 938.53 4 — — 6866.5 23935.66 — 5 1.99 72.5 6060.7 21475.34 1130.03 6 2.26 74 5430.33 18955.51 950.81 In fomula (2), a is the abrasion indicator which realted to coal types, here a=1.410-9 mm·s3/(g·h); M is the Anti-abrasion coefficient for pipe, here M=0.7 for Chromium molybdenum tube and austenitic stainless steel pipe as the materials
Vuthaluru: APPLIED THERMAL ENGINEERING, Vol.31(2011), p. 1368-1380

Determination of 5-Hydroxymethylfurfural and Furfural in Soft Beverages by HPLC Yuyu Zhang1, 2,3,a, Yi Song1, 2,3,b, Xiaosong Hu1, 2,3,c, Xiaojun Liao1, 2,3,d, Yuanying Ni1, 2,3,e and Quanhong Li1,2,3,f * 1College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China 2National Engineering Research Center for Fruits and Vegetables Processing, Beijing 100083, China 3Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture, China azhangyy2@163.com, b587sy@163.com, chuxiaos@126.com, dliaoxjun@hotmail.com, eniyuanying@163.com, f*quanhong_li@hotmail.com (corresponding author) Keywords: 5-Hydroxymethylfurfural (HMF); Furfural; Soft beverage; Determination; High performance liquid chromatography (HPLC) Abstract. 5-hydroxymethylfurfural (HMF) and furfural (F) could be formed in soft beverages of rich sugar during process, and often used as an index of heat treatment.
Materials and methods Materials.
Acknowledgements This work was financially supported by the National Key Technology R&D Program of China (No. 2011BAD23B01).

Effect of Superheat and Oxide Inclusions on the Fluidity of A356 Alloy GIULIO Timelli1,a* and DANIELE Caliari1,b 1University of Padova, Department of Management and Engineering, Stradella S.
The fluidity determines the application field of the material for different casting processes.
The knowledge on the fluidity and the presence of data are still limited; in particular, many aspects of the testing procedure are still poorly understood and detailed experimental results are only referred to few materials.
This lack of knowledge affects not only the research laboratories but also the industrial world, and it makes difficult a reliable and objective comparison between different materials and castings, thus hindering the development of strategies to improve the fluidity.
Miodownik, Material properties for process simulation, Mater.

By extending the applicability of the robust truss models this article contributes considerably to the goals of the Collaborative Research Center 805, which studies uncertainty in load-carrying structures in mechanical engineering.Robust Truss Topology Design We first review the TTD problem [3] which deals with the task of finding the stiffest truss for a given amount of total available material.
In our particular case we aim to find a material distribution for the truss structure that minimizes the worst-case compliance over all loads from a given uncertainty set U.
The key idea in [10] is to approximate the objective by a second-order Taylor expansion and to linearize the state equation.
The material of the truss is steel with a Young's modulus E = 210 GPa and a Poisson's ratio ν = 0.3.
For SDP-R, less materialis moved to the left bars and the material is evenly distributed between the outer top and the bottom bars, whereas for PDE-R, more material is moved to the left and to the bottom.

Materials Characterization The materials used in this study were: -Ground granulated blast-furnace slag (BFS) is sourced from an iron and steel factory located in the Helwan area of Egypt.
The key conclusions drawn from this finding are as follows: 1.
Radojevi´c, Aplitic granite waste as raw material for the production of outdoor ceramic floor tiles, Materials 15 (9) (2022) 3145, https://doi.org/10.3390/ma15093145
Sayed, Physicochemical characteristics of cementitious building materials derived from industrial solid wastes, Constr.
Engineer.138, (2018) 25 409-416 https://doi.org/10.1016/j.applthermaleng.2018.04.071 [49] Y.L.

As a result, the heat transfer coefficients of materials become complex and unstable.
Advanced Materials Research, vol. 935, Trans Tech Publications, Ltd., May 2014, pp. 61–65.
Advanced Materials Research, vol. 608–609, Trans Tech Publications, Ltd., Dec. 2012, pp. 42–45.
Master’s thesis in materials physics from the University of Mohamed El Bachir El Ibrahimi – Bordj Bou Arreridj.
Blair. (2020). ‘’Solar Engineering of Thermal Processes, Photovoltaics and Wind’’.