Products

This is the first book focusing on the subject of injection mold sampling.

A standardized, structured, and systematic procedure for sampling injection molds is essential for a successful injection molding process. This work provides everything you need to know, guiding you from the placing of an order for a mold sampling to the transfer to series production. With the complete sequence of the individual sampling steps, lots of background information, notes, practical examples and tips, and a colorful, well-illustrated design, the sampling procedure is conveyed in a reader-friendly way.

The main topics covered are the structured procedure of a mold sampling, taking into account energy efficiency, documentation, and communication; a mold sampling analysis; optimum machine setup using strategic procedures and methods on the injection molding machine; process optimization with subsequent investigation of process capability; and a Run@Rate process.

This book is ideally suited for practical users working at the injection molding machine as well as serving as a textbook at vocational schools, further education institutions, and universities.

In plastics technology, a wide variety of computer programs are used for the design and optimization of molded plastic parts and for mold design. These programs calculate the filling process, the holding pressure phase, and the cooling phase of the molded part in the mold. The results include, for example, pressures, temperatures, weld/knit lines, and voids. The shrinkage and warpage behavior of the molded part can also be predicted. Understanding and interpreting these simulation results is not trivial, although they are colorful representations with numerical values. Regardless of whether one has many years of experience as a designer, a mold maker, or an injection molder, or whether one is in training or studying, simulation is becoming increasingly important. For this reason, experts who know how to use these programs correctly are increasingly sought after in the market.

This book is intended to expand readers’ specialist knowledge in the field of simulation, thereby increasing their ability to recognize and avoid molding errors at an early stage. Readers will also learn to draw the right conclusions from the simulation results and develop their own solutions.

Specialty thermoplastics command a US$3 billion market worldwide. Their use is proliferating in aerospace and transportation, medical applications including implants, electrical and electronics, textiles and general engineering, and the oil and gas industries. This book provides the key details of all specialty thermoplastics in one volume, uncluttered by information on other commodity and engineering plastics. It covers the spectrum of manufacturing methods, major properties, processing, and applications.

The extraordinary resistance of specialty thermoplastics to high temperature, oxidation, hydrolysis, other chemicals, and radiation, as well as outstanding mechanical properties at temperatures from -40 to 300 °C make them attractive materials for challenging applications. R&D scientists will appreciate the coverage here of different polymer structures for specialty plastics and why certain structures are technically and commercially preferred. Plastics engineers and product design engineers are empowered to select the right plastic in the right grade for the desired applications.

Guidance on processing of specialty plastics using injection and compression molding, extrusion, and coating is provided, together with a wealth of details regarding applications, including aspects that are not readily visible, such as touch and feel.

In addition to users in industry and academic research, this work is also applicable as a textbook for special courses on polymer science and engineering for graduate and undergraduate students.

"Sustainable Packaging Materials" provides a concise introduction to the principles and practices of packaging sustainability. It addresses the important issues that concern packaging professionals, decision makers, managers, CTOs, legislators, researchers, and students, including the viability and future of recycling, bio- and oxo-degradable materials, and plastics alternatives such as paper, glass, and metal. Also covered are new regulations such as the extended producer responsibility (EPR) laws, their consequences as to what materials are likely to be banned, and whether microplastics should be a concern for packaging companies.

Written by an experienced professor, educator, author, inventor, and entrepreneur, this book offers uniquely clear answers to these challenges, helping readers to identify packaging materials that are likely to be phased out to meet new regulations, and to find alternatives to benefit their research and businesses. They will also be equipped to follow guidelines on the use of various packaging materials to stay ahead of the demands of the industry, and to make informed choices about packaging materials by considering sustainability, performance, and cost. Furthermore, they will be informed of the emerging packaging trends in both academia and industry, and understand the issues associated with microplastic pollution, and the actions recommended to mitigate these challenges.

Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring: 

- A comprehensive overview of the various fields of application of data science

- Case studies from practice to make the described concepts tangible

- Practical examples to help you carry out simple data analysis projects

The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. 

Contains these current issues:

- Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms.

- Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice

- Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies

- Computer vision: How can we gain insights from images and videos with data science?

- Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios.

- ML and AI in production: How to turn experimentation into a working data science product?

- Presenting your results: Essential presentation techniques for data scientists

Data Science, Big Data, Artificial Intelligence and Generative AI are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them:

- Understand crucial data science concepts, from statistics and mathematics to legal and ethical considerations.

- Learn how to build data platforms and deploy safe and robust data projects to production.

- Gain the vocabulary to communicate technical requirements and roadmaps to diverse business stakeholders.

- Dive into practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.

The team of authors consists of data experts from business and academia, including data scientists, engineers, business leaders and legal experts. Their broad, deep guide to all aspects of working with data and AI includes:

- Machine Learning Fundamentals: Foundations of mathematics and statistics, plus common frameworks for applying ML in practice: from statistical ML to neural networks, Transformers and AutoML

- Natural Language Processing and Computer Vision: How to extract valuable insights from text, images and video data, and put it to use in real world applications

- Foundation Models and Generative AI: Understand the strengths, challenges, and practical considerations for working with generative models for text, image, video, and other types of data

- Modeling and Simulation: Model the behavior of complex systems and do a What-If analysis covering different scenarios

- Data Science, ML and AI in production: How can you use cloud and database technologies and MLOps to turn experimentation into a working data product?

- Talking about Data: Communication and presentation skills for effective data teams and innovative business leaders

- Building Safe, Responsible AI: Best practices in ML Security; safeguarding generative AI models from attack; and how to adhere to GDPR, CCPA, and the new AI act

All authors are members of the Vienna Data Science Group (VDSG), an NGO that aims to establish a platform for exchanging knowledge on the application of data science, AI and Machine Learning and raising awareness of the opportunities and potential risks of these technologies.

This text- and workbook provides a clearly written, comprehensive introduction to the major topics associated with plastics technology, from basic chemistry and processing methods to the problem of waste and the issue of recycling plastics. 

Guiding questions at the beginning of each lesson help the reader to work through the material in a targeted manner; success checks at the end of each lesson enable the reader to review what he/she has learned. It thus facilitates independent, self-paced learning, meeting the requirements of modern vocational training.

The validation of equipment, processes and methods is a basic requirement that nowadays has to be met in most industries. This handbook deals with the validation of computerized systems in general as well as with analytical method validation. The many detailed practical examples focus on thermal analysis of materials, such as plastics and rubber.

The handbook is intended for newcomers interested in the theoretical and regulatory aspects of validation and for thermal analysis practitioners who have to validate their equipment and methods.