# Mineral Processing and Grinding

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/mineral-processing-and-grinding/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the process of comminution in mineral processing, including topics such as mineral liberation analysis, grinding circuits, particle size distribution, DEM modelling, energy efficiency in comminution, stirred media mills, high voltage pulses for ore pre-weakening, ore sorting technologies, and machine learning applications in mineral processing. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t12282 |
| Works | 45 |

## Topic papers all

Showing 15 of 45.

- [Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis](https://scholariq.org/papers/industrial-process-monitoring-in-the-big-data-industry-4-0-era-from-detection-to/)
- [Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems](https://scholariq.org/papers/evolving-an-artificial-neural-network-classifier-for-condition-monitoring-of/)
- [Nonlinear model predictive control using neural networks](https://scholariq.org/papers/nonlinear-model-predictive-control-using-neural-networks/)
- [Data-Driven Soft Sensor Approach for Quality Prediction in a Refining Process](https://scholariq.org/papers/data-driven-soft-sensor-approach-for-quality-prediction-in-a-refining-process/)
- [Nano-Enhanced Drilling Fluids: Pioneering Approach to Overcome Uncompromising Drilling Problems](https://scholariq.org/papers/nano-enhanced-drilling-fluids-pioneering-approach-to-overcome-uncompromising/)
- [Particle shape effects in flotation. Part 1: Microscale experimental observations](https://scholariq.org/papers/particle-shape-effects-in-flotation-part-1-microscale-experimental-observations/)
- [Diagnostic Feature Extraction From Stamping Tonnage Signals Based on Design of Experiments](https://scholariq.org/papers/diagnostic-feature-extraction-from-stamping-tonnage-signals-based-on-design-of/)
- [Semi-Automatization of Support Vector Machines to Map Lithium (Li) Bearing Pegmatites](https://scholariq.org/papers/semi-automatization-of-support-vector-machines-to-map-lithium-li-bearing/)
- [Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis](https://scholariq.org/papers/monitoring-and-diagnosis-of-multichannel-nonlinear-profile-variations-using/)
- [Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process](https://scholariq.org/papers/ensemble-deep-learning-based-semi-supervised-soft-sensor-modeling-method-and-its/)
- [Data-driven methods for batch data analysis – A critical overview and mapping on the complexity scale](https://scholariq.org/papers/data-driven-methods-for-batch-data-analysis-a-critical-overview-and-mapping-on/)
- [A comparison of methods for measuring the induction time for bubble–particle attachment](https://scholariq.org/papers/a-comparison-of-methods-for-measuring-the-induction-time-for-bubble-particle/)
- [CFD-DEM simulation of liquid-solid fluidized bed with dynamic restitution coefficient](https://scholariq.org/papers/cfd-dem-simulation-of-liquid-solid-fluidized-bed-with-dynamic-restitution/)
- [Review on Grinding Tool Wear With Regard to Sustainability](https://scholariq.org/papers/review-on-grinding-tool-wear-with-regard-to-sustainability/)
- [Development of vibration style ladle slag detection methods and the key technologies](https://scholariq.org/papers/development-of-vibration-style-ladle-slag-detection-methods-and-the-key/)

## Topic primary papers

- [Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process](https://scholariq.org/papers/ensemble-deep-learning-based-semi-supervised-soft-sensor-modeling-method-and-its/)
- [Experimental study on evolution law for particle breakage during coal and gas outburst](https://scholariq.org/papers/experimental-study-on-evolution-law-for-particle-breakage-during-coal-and-gas/)
- [A hybrid intelligent optimization approach to improving quality for serial multistage and multi-response coal preparation production systems](https://scholariq.org/papers/a-hybrid-intelligent-optimization-approach-to-improving-quality-for-serial/)
- [Dual-energy X-ray transmission identification method of multi-thickness coal and gangue based on SVM distance transformation](https://scholariq.org/papers/dual-energy-x-ray-transmission-identification-method-of-multi-thickness-coal-and/)
- [Applying Triz for Production Quality Improvement](https://scholariq.org/papers/applying-triz-for-production-quality-improvement/)
- [Bi-layer deep feature fusion based mineral classification using hand-specimen images](https://scholariq.org/papers/bi-layer-deep-feature-fusion-based-mineral-classification-using-hand-specimen/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.