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Dernière mise à jour : Mai 2018

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Scientific documents annotation with @Web

A new data paper about Milling itineraries dataset for a collection of crop and wood by-products and granulometric properties of the resulting powders

A new data paper about Milling itineraries dataset for a collection of crop and wood by-products (https://doi.org/10.1016/j.dib.2020.106430)

A new data paper (https://doi.org/10.1016/j.dib.2020.106430) about Milling itineraries dataset for a collection of crop and wood by-products  and granulometric properties of the resulting powders

Lignocellulosic biomass represents a readily available reseRvoir of functional elements that can be an alternative to fos- sil resources for energy, chemicals and materials production. However, comminution of lignocellulosic biomass into fine particles is required to reveal its functionalities, improve its reactivity and allow practical implementation in the down- stream processing steps (carrying, dosage, mixing, formula- tion, shaping…). The sources of lignocellulosics are diverse, with two main families, being agricultural and forest by- products. Due to plant specificity and natural variability, the itineraries of particle size reduction by dry processing, the behavior upon milling and therefore the characteristics of re- sulting powders can deeply vary according to various raw biomasses. This data article contains milling itineraries and granulomet- ric properties of the resulting powders obtained from a col- lection of by-products from crops (flax fibers, hemp core, rice husk, wheat straw) and woods (pine wood pellets, pine bark, pine sawdust, Douglas shavings, chestnut tree sawdust) rep- resentative of currently used lignocellulosic biomass. Samples provided in the form of large pieces (hemp core, pine bark, Douglas shavings) were successively milled using different mills to progressively reduce the matter into coarse, interme- diate and finally fine powders. The other samples, supplied as sufficiently small format, were directly processed in the fine powder mill. The machine characteristics and their operating parameters were recorded. The granulometric prop- erties of the powders were analyzed with a laser granulometer and the main indicators related to the particle size distri- bution (PSD) are presented: (i) d10, d50 (or median diameter) and d90 which are the 10th, 50th and 90th percentiles of the cumulative volume distribution; (ii) the span, which evaluates the width of the particle size distribution; (iii) the calculated specific surface area of the powders which represents the sum of total surface exhibited by the particles per unit of gram and for some powders. The whole particle size distribution of a subset of produced powder samples are also provided for different milling times to illustrate the kinetics of particle size reduction. These data are stored in INRAE public repository and have been structured using BIOREFINERY ontology. These data are also replicated in atWeb data warehouse providing addi- tional query tools.