BOF Process Optimization and Technology Improvements at Ternium Brazil

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

Download Full-text

Machine-Learning Assisted Laser Powder Bed Fusion Process Optimization for AlSi10mg: New Microstructure Description Indices and Fracture Mechanisms

SSRN Electronic Journal ◽

10.2139/ssrn.3681162 ◽

2020 ◽

Author(s):

Qian Liu ◽

Hongkun Wu ◽

Moses J. Paul ◽

Peidong He ◽

Zhongxiao Peng ◽

...

Keyword(s):

Machine Learning ◽

Process Optimization ◽

Fusion Process ◽

Fracture Mechanisms ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

Download Full-text

An efficient biotreatment process for polyvinyl alcohol containing textile wastewater

Water Practice & Technology ◽

10.2166/wpt.2013.049 ◽

2013 ◽

Vol 8 (3-4) ◽

pp. 469-478 ◽

Cited By ~ 2

Author(s):

Sandip S. Magdum ◽

Gauri P. Minde ◽

Upendra S. Adhyapak ◽

V. Kalyanraman

Keyword(s):

Polyvinyl Alcohol ◽

Process Optimization ◽

Textile Wastewater ◽

Cost Effective ◽

Chemical Oxidation ◽

High Rate ◽

Microbial Consortia ◽

Environment Friendly ◽

Candida Sp ◽

Textile Wastewater Treatment

The aim of this work was to optimize the biodegradation of polyvinyl alcohol (PVA) containing actual textile wastewater for a sustainable treatment solution. The isolated microbial consortia of effective PVA degrader namely Candida Sp. and Pseudomonas Sp., which were responsible for symbiotic degradation of chemical oxidation demand (COD) and PVA from desizing wastewater. In the process optimization, the maximum aeration was essential to achieve a high degradation rate, where as stirring enhances further degradation and foam control. Batch experiments concluded with the need of 16 lpm/l and 150 rpm of air and stirring speed respectively for high rate of COD and PVA degradation. Optimized process leads to 2 days of hydraulic retention time (HRT) with 85–90% PVA degradation. Continuous study also confirmed above treatment process optimization with 85.02% of COD and 90.3% of PVA degradation of effluent with 2 days HRT. This study gives environment friendly and cost effective solution for PVA containing textile wastewater treatment.

Download Full-text

NDBEPR PROCESS OPTIMIZATION IN SBRs: REDUCTION OF EXTERNAL CARBON-SOURCE AND OXYGEN SUPPLY

Water Science & Technology ◽

10.2166/wst.1994.0184 ◽

1994 ◽

Vol 30 (4) ◽

pp. 169-179 ◽

Cited By ~ 32

Author(s):

Carl Demuynck ◽

Peter Vanrolleghem ◽

Carine Mingneau ◽

Jan Liessens ◽

Willy Verstraete

Keyword(s):

Process Optimization ◽

Phosphorus Removal ◽

Numerical Optimization ◽

Cost Savings ◽

Operating Costs ◽

Nitrification Rate ◽

Aeration Time ◽

Time Scheduling ◽

Better Than ◽

The Ideal

In SBR plants for nutrient removal it is often necessary to add supplementary rbCOD during the anoxic phase to obtain complete nitrogen removal. In addition to the aeration, this supply of high-quality BOD is a non-negligible part in the operating costs. Because of the complexity of the bighly interconnected biological processes a heuristic approach for process optimization is hardly possible. Therefore the Nitrification Denitrification Biological Excess Phosphorus Removal (NDBEPR) model of Wentzel et al. and a numerical optimization a1goritbm were used to optimize SBR time scheduling, i.e. minimize both effluent concentrations and operating costs. It was found that a sequence of short aerobic/anoxic phases appears to be better than the usual sequence (one aerobic phase followed by one anoxic phase). This result was validated on a 500 I scale SBR. The optimized process saves up to 50% on extra BOD supply and up to 30% on aeration time. Moreover, it was shown that these cost savings were not at the expense of the phosphorus removal efficiency or the nitrification rate. From an additional numerical optimization it was seen that the ideal SBR time scheduling may depend on the loading. Therefore. a control strategy hased on OUR and ORP measurements is proposed.

Download Full-text