The text presents a complete explanation and derivation of the statistical theory of sampling of particulate materials which is based on the single assumption of Poisson distributed particle numbers in mechanically correct samples. The material presented goes beyond the theory developed by P M Gy and provides the complete sampling distribution. The work is entirely self-contained with extensive appendices. Practical application of the results is supported by numerous examples including application to sampling of minerals, food, and packaged commodities and environmental sampling.

Developments in Geomathematics 4: Sampling of Particulate Materials: Theory and Practice reviews the theory and practice of sampling particulate solids, such as ores and concentrates. With examples borrowed from the mining, metallurgical, and cement industries, the book examines particulate materials of vegetable and mineral origin, including cereals, oil seeds, sugar beets, granulated drosses or slags, bars, plates, and ingots. Organized into nine parts encompassing 34 chapters, this volume begins with an overview of the theory of sampling and sampling-error generating mechanisms. It then discusses the continuous selection and discrete models of the increment sampling process and the materialization of punctual increments. It explains the splitting process and its practical implementation in sampling. Lot and sample preparation, resolution of sampling problems, and problems associated with commercial sampling are also discussed. The book also describes the detection of measurement or sampling biases and inconspicuous losses of material, and the design of automatic sampling plants. This book is a valuable resource for geologists, mining engineers, metallurgists, and analysts.

"This is a Ph.D. thesis. There are many chemical, physical or biological properties of solid materials that are of crucial importance for economic, agricultural, environmental or health-related reasons. These properties are often estimated using chemical, physical or biological tests on one or more laboratory samples. During the drawing of the bulk sample from which the laboratory sample is extracted, sampling errors can occur. These sampling errors are caused by the sampling of non-identical particles. Contents include: Introduction, Review of current sampling theories, Size-based multinomial selections: a model for sampling, Size-based sampling theory, Estimation of the variance of the sample concentration, Evaluation of bias, Experimental evaluation of the theory developed, Minimum sample mass, Final remarks."

Suitable for practicing engineers and engineers in training, this book covers the most important operations involving particulate solids. Through clear explanations of theoretical principles and practical laboratory exercises, the text provides an understanding of the behavior of powders and pulverized systems. It also helps readers develop skills for operating, optimizing, and innovating particle processing technologies and machinery in order to carry out industrial operations. The author explores common bulk solids processing operations, including milling, agglomeration, fluidization, mixing, and solid-fluid separation.