Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes

Additive manufacturing (AM) make simpler the manufacturing of difficult geometric structures. Its possibility has quickly prolonged from the manufacture of pre-fabrication conception replicas to the making of finish practice portions driving the essential for superior part feature guarantee in the additively fabricated products. Machine learning (ML) is one of the encouraging methods that can be practiced to succeed in this aim. A modern study in this arena contains the procedure of managed and unconfirmed ML algorithms for excellent control and forecast of mechanical characteristics of AM products. This chapter describes the development of applying machine learning (ML) to numerous aspects of the additive manufacturing whole chain, counting model design, and quality evaluation. Present challenges in applying machine learning (ML) to additive manufacturing and possible solutions for these problems are then defined. Upcoming trends are planned in order to deliver a general discussion of this additive manufacturing area.

The First Law & Technology International Writing Competition

In this two-part feature, Dr Matthew Terrell provides a brief introduction to a new initiative that was launched by Justis in 2017: the inaugural Law and Technology International Writing Competition. This was a competition aimed at attracting students to write a 1,000 word piece in the style of a blog entry. The winner was Róisín Costello from Trinity College Dublin and her article, entitled ‘The Tortoise and the Hare? Due Process and Unconstitutionally Obtained Evidence in the Digital Age’, follows this introduction.

A new low-carbon design method based on multi-agent interactive reinforcement learning

With the development of manufacturing industry, considerable attention has been paid to the issue of environmental problems caused by the manufacturing process. One of the most important methods to solve this kind of problem is the low-carbon design of the products before manufacturing process. Therefore, a new part structure low-carbon design method is proposed in this paper. At first, the layered structure model based on part features is constructed in order to divide the product into part features, and as a result, the carbon footprint is calculated for each part feature. Then, the part features are clustered into several classes looking forward to find the higher carbon emissions part features as initial features for low-carbon design. After that, the multi-agent interactive reinforcement learning method is performed on the topological path of multiple initial parts using the Q-learning algorithm in Markov environment, so as to meet the design requirements of low-carbon design. Finally, a 6400 kN injection molding machine moving template design was taken as an example to verify the effectiveness of the proposed low-carbon design method.

Pierwsza ekranizacja Pana Twardowskiego

The article discusses the oldest recorded film adaptation of the legend of Pan Twardowski, found in the archives of the George Eastman House in Rochester, New York. The two-part feature film was filmed in Russia between 1916 and 1917, and its creator was the famed Polish filmmaker Władysław Starewicz.

From Private Photography to Mass Circulation: The Queering of East German Visual Culture, 1968–1989

This article describes how a particular kind of queer figure moved from private photography into the mainstream of East German visual culture. It begins with a set of private photographs from the late 1960s from the collection of Heino Hilger, a regular, with his friends, at the East Berlin bar Burgfrieden. The photographs show how dressing in drag and the act of photography were important ways of constituting a gay male subculture. After the decriminalization of sex between men in 1968, the gay scene became bolder and more political in East Germany. The subversion of gender norms was central to the activism of groups such as the Homosexual Interest Group Berlin (HIB) and Gays in the Church. The visibility of the queer figure culminated in the late 1980s, when parts of the film Coming Out were filmed in Burgfrieden and when the popular monthly Das Magazin published a three-part feature on male homosexuality. What all these cultural artifacts and events had in common was not just a critique of the heterosexual norm, but also a queering of the boundaries between masculinity and femininity.

Watching Women's Liberation, 1970

In 1970, ABC, CBS, and NBC—the “Big Three” of the pre-cable television era—discovered the feminist movement. From the famed sit-in at Ladies' Home Journal to multi-part feature stories on the movement's ideas and leaders, nightly news broadcasts covered feminism more than in any year before or since, bringing women's liberation into American homes. This book uses case studies of key media events to delve into the ways national TV news mediated the emergence of feminism's second wave. First legitimized as a big story by print media, the feminist movement gained broadcast attention as the networks' eagerness to get in on the action was accompanied by feminists' efforts to use national media for their own purposes. The book chronicles the conditions that precipitated feminism's new visibility and analyzes the verbal and visual strategies of broadcast news discourses that tried to make sense of the movement. Groundbreaking and packed with detail, this book shows how feminism went mainstream, and what it gained and lost on the way.

Automatic Detection and Extraction of Tolerance Stacks in Mechanical Assemblies

Tolerances are specified by a designer to allow reasonable freedom by a manufacturer for imperfections and inherent variability without compromising performance. It takes knowledge and experience to create a good tolerance scheme. It is a tedious process driven by the type of parts, their features and controls needed for each one of them. In this paper, we investigate the extent to which GD&T schema development can be automated. Automated tolerance schema generation, requires identifying critical tolerance loops. The tolerance loop is a loop of dimensions between faces of features governing assembly conditions. For this purpose, the first major step is to identify mating features called assembly features. Also, in order to create the tolerance chains we need Local Constraints (assembly feature relationships), Global constraints (part feature relationships) and directions of control. In addition, we have to identify feature patterns since they have associated tolerances according to Dimensioning and Tolerancing Standard ASME Y14.5M. Directions in which these loops lie are also needed; we call them Direction of Control (DoC). Then we can create the GD&T schema, allocate tolerance values, and prepare it for tolerance evaluation. In this paper, we present an approach to automatically identify the dimensional loops based on assembly requirements. Assignment of tolerance values will be covered in future works as it is based on design function.