Identification of Critical Process Parameters for Knife Milling and Alternative Communication Strategies
- Argonne National Lab. (ANL), Argonne, IL (United States)
An assessment of knife milling operations was performed to identify parameters that require consideration to model wear and degradation of knife blades. A quality-by-design (QbD) paradigm was followed to identify material and feedstock attributes, and processing parameters that impact the quality attributes of the blades used in the comminution of biomass into forms compatible with downstream operations. Based on analytical and experimental observations of knife and tool wear, a QbD model is proposed that considers three wear mechanisms (erosion, abrasion, and gouging) to predict volumetric wear of knife blades and sharpness. These factors, if properly applied, provide a science-based approach to predict the mechanical efficiency of the mill as a function of feedstock properties, knife blade material properties, and processing parameters (feed rate, speed, and design parameters).
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC02-06CH11357
- OSTI ID:
- 1767136
- Report Number(s):
- ANL/AMD-20/3; 165291
- Country of Publication:
- United States
- Language:
- English
Similar Records
An Abrasive Wear Model of Knife Milling to Predict the Impact of Material Properties and Milling Parameters on Knife Edge Recession
Improving knife milling performance for biomass preprocessing by using advanced blade materials
Technical Report
·
Sun Aug 01 00:00:00 EDT 2021
·
OSTI ID:1818971
Improving knife milling performance for biomass preprocessing by using advanced blade materials
Journal Article
·
Sat Mar 04 19:00:00 EST 2023
· Wear
·
OSTI ID:1971047