Design analysis of a machine for manufacturing of bricks from industrial waste: simulations and experiments

被引:3
|
作者
Bisht, Ravindra Singh [1 ]
Panigrahi, Soraj Kumar [1 ]
Singh, Siddharth [1 ]
Kumar, Dinesh [1 ]
Yadav, Sameer [1 ]
机构
[1] CSIR Cent Bldg Res Inst, Acoust Instrumentat & Mech Syst Grp, Roorkee 247667, Uttar Pradesh, India
关键词
Brick machine; CAD design; Design analysis; Ejection mechanism; Motion simulation; Slider-crank mechanism; SLIDER-CRANK MECHANISM; DYNAMIC-ANALYSIS; HIGH-SPEED; AUTOMATION; MECHANIZATION; CONSTRUCTION; CLEARANCE;
D O I
10.1007/s12008-021-00784-y
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The present study focuses on the detailed design analysis of a machine for manufacturing of bricks from industrial waste. Various mechanisms viz., mould ejection system with offset slider-crank mechanism, vibro-compaction technique, steering with rack and pinion-based plunger have been optimized for reduced human effort and maximized brick production capacity. The mathematical modelling, kinematic, and dynamic analysis are presented and discussed using MATLAB. The design part includes mould ejection mechanism for reduced human effort in brick production. The newly developed mechanism exhibits with higher production capacity, more user-friendly, easy maintenance with less human effort. The brick machine is a stationary type with a production capacity of 5500 bricks per eight-hour shift.
引用
收藏
页码:587 / 596
页数:10
相关论文
共 50 条
  • [41] Bayesian analysis of ordered categorical data from industrial experiments
    Chipman, H
    Hamada, M
    TECHNOMETRICS, 1996, 38 (01) : 1 - 10
  • [42] Navigating the landscape of enzyme design: from molecular simulations to machine learning
    Zhou, Jiahui
    Huang, Meilan
    CHEMICAL SOCIETY REVIEWS, 2024, 53 (16) : 8202 - 8239
  • [43] Infrared analysis of clay bricks incorporated with spent shea waste from the shea butter industry
    Adazabra, A. N.
    Viruthagiri, G.
    Shanmugam, N.
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 191 : 66 - 74
  • [44] Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder
    Sławomir Czarnecki
    Marijana Hadzima-Nyarko
    Adrian Chajec
    Łukasz Sadowski
    Scientific Reports, 12
  • [45] Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder
    Czarnecki, Slawomir
    Hadzima-Nyarko, Marijana
    Chajec, Adrian
    Sadowski, Lukasz
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [46] Exhaust waste heat recovery from a heavy-duty truck engine: Experiments and simulations
    Rijpkema, Jelmer
    Erlandsson, Olof
    Andersson, Sven B.
    Munch, Karin
    ENERGY, 2022, 238
  • [47] Design of sustainable mortar incorporating construction and demolition waste through adaptive experiments accelerated by machine learning
    Baah, Thomas Tawiah
    Zeng, Hang
    Latypov, Marat I.
    Kim, Hee Jeong
    RESULTS IN ENGINEERING, 2025, 25
  • [48] Design and Accuracy Analysis of a Metamorphic CNC Flame Cutting Machine for Ship Manufacturing
    HU Shenghai
    ZHANG Manhui
    ZHANG Baoping
    CHEN Xi
    YU Wei
    Chinese Journal of Mechanical Engineering, 2016, (05) : 930 - 943
  • [49] Design and Accuracy Analysis of a Metamorphic CNC Flame Cutting Machine for Ship Manufacturing
    Hu Shenghai
    Zhang Manhui
    Zhang Baoping
    Chen Xi
    Yu Wei
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2016, 29 (05) : 930 - 943
  • [50] Design and Accuracy Analysis of a Metamorphic CNC Flame Cutting Machine for Ship Manufacturing
    HU Shenghai
    ZHANG Manhui
    ZHANG Baoping
    CHEN Xi
    YU Wei
    Chinese Journal of Mechanical Engineering, 2016, 29 (05) : 930 - 943