Raising the quality of calcium silicate unitswith simultaneous reduction of production costs using Statistical Design of Experiments (DoE)

被引:0
|
作者
Schade, Tim [1 ]
Middendorf, Bernhard [1 ]
Eden, Wolfgang [2 ]
Kuhnt, Sonja [3 ]
Becker-Emden, Eva-Christina [3 ]
机构
[1] University of Kassel, Kassel, Germany
[2] Research Association Lime-Sand eV, Hannover, Germany
[3] Dortmund University of Applied Sciences, Dortmund, Germany
来源
ZKG International | 2020年 / 73卷 / 03期
关键词
Brick - Calcium silicate - Energy utilization - Cost reduction - Pilot plants - Design of experiments - Manufacture - Silicates - Compressive strength;
D O I
暂无
中图分类号
学科分类号
摘要
As part of the investigations carried out, a mathematical model with which the brick compressive strength can be predicted was built up, examplarily on the basis of raw materials from a calcium silicate unit plant. All the relevant production parameters were varied using the methods of statistical design of experiments (DoE). The calculations carried out are based on the data records for the raw materials, generated from 72 experiments in the pilot plant, the process-related manufacturing parameters and the measured brick properties. The energy required for a set of manufacturing parameters and the associated CO2 emissions can be calculated, so that the desired approaches for reducing energy consumption and environmentally relevant emissions as well as maintaining the quality for implementation in calcium silicate unit plants are available. These are - as far as technically possible - especially the» Reduction of energy consumption» Reduction of environmentally relevant emissions» Reduction of production costs by reducing the input of lime» Reduction of the manufacturing time by shortening the hardening time in the autoclave» Maintaining or increasing product quality, e.g. by optimizing the C S H phase constitution. © 2020 Bauverlag BV GmbH. All rights reserved.
引用
收藏
页码:35 / 42
相关论文
共 22 条
  • [1] Raising the quality of calcium silicate unitswith simultaneous reduction of production costs using Statistical Design of Experiments (DoE)
    Schade, Tim
    Middendor, Bernhard
    Eden, Wolfgang
    Kuhnt, Sonja
    Becker-Emden, Eva-Christina
    ZKG INTERNATIONAL, 2020, 73 (03): : 35 - 42
  • [2] Process optimization of a novel production method for nanosuspensions using design of experiments (DoE)
    Salazar, Jaime
    Heinzerling, Oliver
    Mueller, Rainer H.
    Moeschwitzer, Jan P.
    INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2011, 420 (02) : 395 - 403
  • [3] Design of Experiments (DOE) for investigating particleboard production using hardwood sawmill residues
    Nirdosha, G.
    Setunge, S.
    Jollands, M.
    INCORPORATING SUSTAINABLE PRACTICE IN MECHANICS OF STRUCTURES AND MATERIALS, 2011, : 861 - 865
  • [4] Evaluation of Pretreatment and Extraction Parameters for the Analysis of Fentanyl in Hair Using Statistical Design of Experiments (DoE)
    Spear, Brianna Hill
    DeCaprio, Anthony P.
    JOURNAL OF ANALYTICAL TOXICOLOGY, 2022, 46 (08) : 932 - 939
  • [5] STUDY OF THE PRODUCTION OF MONOFILAMENT LIGHTGUIDES USING THE METHODS OF STATISTICAL DESIGN OF EXPERIMENTS.
    Kondrat'yev, Yu.N.
    Kurkin, V.P.
    Pavlovskiy, V.K.
    Soviet Journal of Optical Technology (English translation of Optiko-Mekhanicheskaya Promyshlennost), 1973, 40 (03): : 186 - 189
  • [6] Optimizing the dispersion of calcium phosphate nanoparticles for cellular studies using statistical design of experiments
    Onder, Anil Can
    Tomak, Aysel
    Karakus, Ceyda Oksel
    CERAMICS INTERNATIONAL, 2023, 49 (16) : 26890 - 26899
  • [7] REDUCTION OF IRON-ORE WITH COAL IN ROTARY KILN USING STATISTICAL DESIGN OF EXPERIMENTS
    RAY, AK
    PRASAD, KK
    SEN, PK
    ISIJ INTERNATIONAL, 1991, 31 (07) : 753 - 755
  • [8] Determining optimal parameters using Taguchi's design of experiments (DOE) for improving the quality of biogas generation process
    Kanakavalli, Prakash Babu
    More, Satish R.
    ENGINEERING RESEARCH EXPRESS, 2022, 4 (02):
  • [9] Biohydrogen synthesis from food waste hydrolysate: Optimization using statistical design of experiments (DoE) and artificial neural network (ANN)
    Anand, Avinash
    Mahata, Chandan
    Moholkar, Vijayanand Suryakant
    BIOMASS & BIOENERGY, 2024, 191
  • [10] Dilute nitric acid pretreatment of Ulva biomass for production of fermentable sugars and its validation using Design of Experiments (DoE)
    Jadhav, Ankur
    Sharma, Manju
    BIOMASS CONVERSION AND BIOREFINERY, 2024,