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.

A step-by-step guide for anyone challenged by the many subtleties of sampling particulate materials. The only comprehensive document merging the famous works of P. Gy, I. Visman, and C.O. Ingamells into a single theory in a logical way - the most advanced book on sampling that can be used by all sampling practitioners around the world.

Pierre Gy's Sampling Theory and Sampling Practice, Second Edition is a concise, step-by-step guide for process variability management and methods. Updated and expanded, this new edition provides a comprehensive study of heterogeneity, covering the basic principles of sampling theory and its various applications. It presents many practical examples to allow readers to select appropriate sampling protocols and assess the validity of sampling protocols from others. The variability of dynamic process streams using variography is discussed to help bridge sampling theory with statistical process control. Many descriptions of good sampling devices, as well as descriptions of poor ones, are featured to educate readers on what to look for when purchasing sampling systems. The book uses its accessible, tutorial style to focus on professional selection and use of methods. The book will be a valuable guide for mineral processing engineers; metallurgists; geologists; miners; chemists; environmental scientists; and practitioners in chemical, cement, steel, power generation, high performance materials, recycling, cereal, and pharmaceutical industries.

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.