{"id":2701,"date":"2021-10-23T09:49:56","date_gmt":"2021-10-23T09:49:56","guid":{"rendered":"https:\/\/www.encore-lab.com\/project\/project-dmstee\/"},"modified":"2022-05-07T15:19:49","modified_gmt":"2022-05-07T15:19:49","slug":"project-dmstee","status":"publish","type":"project","link":"https:\/\/www.encore-lab.com\/en\/project\/project-dmstee\/","title":{"rendered":"Project Dmstee"},"content":{"rendered":"

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Project Dmsteel<\/span><\/h1>\n

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File<\/h1>\n

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Year<\/strong><\/p>\n

[\/et_pb_text][et_pb_divider color=”#c4c4c4″ divider_weight=”1px” _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” width=”90%” module_alignment=”center” custom_margin=”||-20px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.16″ _module_preset=”default” width=”90%” module_alignment=”center” custom_margin=”-15px||15px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n

2017<\/p>\n

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Area<\/strong><\/p>\n

[\/et_pb_text][et_pb_divider color=”#c4c4c4″ divider_weight=”1px” _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” width=”90%” module_alignment=”center” custom_margin=”||-20px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.16″ _module_preset=”default” width=”90%” module_alignment=”center” custom_margin=”-15px||15px||false|false” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n

Industry<\/p>\n

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Participants<\/strong><\/p>\n

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Universidad de la Rioja, Encore-Lab<\/p>\n

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Technology used<\/strong><\/p>\n

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Data mining<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_6,1_6,1_6,1_6,1_6,1_6″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.16″ _module_preset=”default” background_color=”#FFFFFF” module_alignment=”center” custom_margin=”||-90px||false|false” custom_padding=”|20px||20px|false|false” border_radii=”on|14px|14px|14px|14px” global_colors_info=”{}”][et_pb_column type=”1_6″ _builder_version=”4.16″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” global_colors_info=”{}”][et_pb_image src=”https:\/\/encore-lab.com\/wp-content\/uploads\/2021\/09\/proyecto-steel-noticias.png” alt=”dmsteel project” title_text=”dmsteel proyecto” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_6″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/encore-lab.com\/wp-content\/uploads\/2021\/09\/proyecto-steel-noticias.png” alt=”dmsteel project” title_text=”dmsteel proyecto” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_6″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/encore-lab.com\/wp-content\/uploads\/2021\/09\/proyecto-steel-noticias.png” alt=”dmsteel project” title_text=”dmsteel proyecto” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_6″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/encore-lab.com\/wp-content\/uploads\/2021\/09\/proyecto-steel-noticias.png” alt=”dmsteel project” title_text=”dmsteel proyecto” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_6″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/encore-lab.com\/wp-content\/uploads\/2021\/09\/proyecto-steel-noticias.png” alt=”dmsteel project” title_text=”dmsteel proyecto” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_6″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/encore-lab.com\/wp-content\/uploads\/2021\/09\/proyecto-steel-noticias.png” alt=”dmsteel project” title_text=”dmsteel proyecto” show_in_lightbox=”on” force_fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Project description<\/h2>\n

The aim of the project was to predict the percentage of sulphur obtained in steel made by electric arc furnace. The process under study was complex and involved many variables such as the types of scrap used, the energy or oxygen consumption, the additives used, among others.<\/span><\/p>\n

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Reply from Encore-Lab<\/h2>\n

The project was based on data obtained from a steel manufacturing plant using an electric arc furnace. The techniques employed were those commonly used in data mining processes: pre-processing techniques, clustering, regression. Techniques such as neural networks, support vector machines or decision trees were used to achieve the objectives pursued. For the development of the project we used the Open Source software R, which provides a wide variety of statistical and graphical techniques.<\/span><\/p>\n

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Results<\/h2>\n

Encore Lab obtained models that increased the knowledge and controllability of this process.<\/span><\/p>\n

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