Spectral characterisation of colour printer based on a novel grey component replacement method

Conventional printer characterisation models are generally based on the assumption that the densities of primary colours are additive. However, additivity failure frequently occurs in practice. We propose a novel grey component replacement (GCR) method based on the spectral density sub-additivity equations in this letter for spectral characterisation of a 4-ink colour printer. The method effectively correct the error caused by additivity failure. Real high-quality hardcopy samples are produced as evidence of the feasibility of the proposed method and to evaluate the model performance. Finally, the GCR model for characterising colour printer with high spectral and colorimetric prediction accuracy is established.     

水洗预处理对生物质燃烧积灰特性的影响

水洗预处理可有效脱除生物质中的积灰诱导元素钾。本文利用一维沉降炉和积灰采样器,对水洗前后小麦秸秆和玉米秸秆的积灰特性进行了实验研究,选取了四个积灰时间,考察了水洗对积灰质量、积灰率、积灰形貌与元素组成的影响。结果表明,水洗预处理使生物质积灰质量和积灰率大幅降低,凝结/热泳机制与化学反应机制被显著削弱,生物质积灰过程变为非黏性飞灰颗粒的物理堆积。     

压力修正算法对刮削层等离子体输运方程数值求解性能的影响

基于C++撰写测试程序,研究SIMPLE(Semi-Implicit Method for Pressure Linked Equations)、 SIMPLEC(SIMPLE Consistent)、 SIMPLER(SIMPLE Revised)、 SIMPLEX(SIMPLE Extrapolation)以及PISO(Pressure-Implicit with Splitting of Operators)等压力修正算法对刮削层等离子体Braginskii输运方程数值求解性能的影响。测试程序采用SOLPS(Scrape-Off Layer Plasma Simulation)的等离子体模型方程,数值计算针对简化平板模型开展。结果表明：5种压力修正算法均能使程序收敛至正确的结果,其中PISO算法的收敛速度最快,SIMPLE、 SIMPLEC、 SIMPLER、 SIMPLEX的收敛速度无明显差异。     

Spectral-based color separation method for a multi-ink printer

A spectral-based 8-ink characterization model is developed to accurately predict the recipe for a multi-ink printer. The 8-ink color separation method is a union of five 3-ink and six 4-ink combinations based on the cellular Yule-Nielsen spectral Neugebauer model with a recipe selection strategy. The performance levels of the forward and backward models are evaluated for individual ink combinations using printed testing samples. Furthermore, the spectral-based method performs better compared with the XYZ-based approach. On the basis of the backward model performance, a novel fast recipe selection strategy is proposed and estimated.