Revistas de investigación UNMSM

Data Processor to Estimate Raw Meal Dosing for Cement Manufacture

Authors

DOI:

https://doi.org/10.15381/idata.v25i1.19686

Keywords:

cement, raw meal, data processor, dosing

Abstract

In the cement industry, the dosing of raw materials is an important stage in which mixtures called cement raw materials are obtained. The chemical and mineralogical composition of the clinker and the type of cement to be produced will depend on the content of these raw mixtures. Empirical calculation methods are usually used to determine the appropriate raw meal proportions; in practice, application of such methods is difficult due to their complexity and the limited use of conventional programs. In this applied research, a data processor was designed to estimate the chemical composition of raw meal. The methodology involved the development of equations, the design of the program and its validation. Its functionality, effectiveness and interaction with the user were verified based on the results, obtaining a processor that adequately manage data related to raw materials and cement type, and obtains very acceptable results.

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Author Biographies

  • Nidia Pompilla Cáceres, Universidad Nacional de San Agustín. Arequipa, Peru

    Chemical engineer. Currently working as professor at Universidad Nacional de San Agustín (Arequipa, Peru).

  • Paul Tanco Fernández, Universidad Nacional de San Agustín. Arequipa, Peru

    PhD in Environmental Science and Technology. Industrial engineer. Currently working as professor at Universidad Nacional de San Agustín (Arequipa, Peru).

  • Fredi Angulo Salas, Universidad Nacional de San Agustín. Arequipa, Peru

    Master in Industrial Engineering. Currently working as professor at Universidad Nacional de San Agustín. (Arequipa, Peru).

  • Víctor Gonza Coaguila, Independent Consultant

    Bachiller in Chemical Engineering. Currently working as an independent consultant (Arequipa, Peru).

  • David Neyra Gutiérrez, Independent Consultant

    Bachiller in Computer Science. Currently working as an independent consultant (Arequipa, Peru).

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Published

2022-07-31 — Updated on 2022-08-22

Issue

Vol. 25 No. 1 (2022)

Section

Diseño y Tecnología

License

Copyright (c) 2022 Nidia Pompilla Cáceres, Paul Tanco Fernández, Fredi Angulo Salas, Víctor Gonza Coaguila, David Neyra Gutiérrez

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

AUTHORS RETAIN THEIR RIGHTS:

a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.

b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.

c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).

How to Cite

Data Processor to Estimate Raw Meal Dosing for Cement Manufacture. (2022). Industrial Data, 25(1), 7-35. https://doi.org/10.15381/idata.v25i1.19686