Search Results

This 2-day foundational-level course builds on geometric dimensioning and tolerancing fundamentals and teaches an introduction of how to inspect GD&T requirements.  The course offers an explanation of the geometric symbols, rules, and concepts, the datum system, and how to inspect GD&T requirements using tools from the four categories of inspection tools (CMM; comparison instruments and fixed gages; hand tools and open set up; and production gaging systems).

This 3-day Fundamentals of GD&T course provides an in-depth study of the terms, rules, symbols, and concepts of geometric dimensioning and tolerancing, as prescribed in the ASME Y14.5-2009 Standard. The course can be conducted in three 8-hour sessions or with flexible scheduling including five mornings or five afternoons. 

This course teaches the thought processes involved in assigning GD&T to components, and it changes the way many engineers think about part tolerancing. The course focuses on what constitutes good and poor drawing practices, common dimensioning methods used in industry, using GD&T to communicate system functions on component dimensions, and the logic of how to apply GD&T to components. You’ll also learn how to select datum features and how to fully define component surfaces using GD&T. Establishing tolerance values is not covered.   

This 3-day advanced-level Fundamentals of GD&T course is an in-depth study of the terms, rules, symbols, and concepts of geometric dimensioning and tolerancing as prescribed in the ASME Y14.5M-1994 Standard. The course can be conducted in three 8-hour sessions or with flexible scheduling including five mornings or five afternoons.  This class includes all the content from the Fundamentals of GD&T 2-day foundational course: an explanation of geometric symbols, including each symbol’s requirements, tolerance zones, and limitations.

Using tolerance stacks ensures that parts fit together properly, reducing scrap and rework, thereby increasing value. This 3-day advanced-level course includes everything covered in the 2-day foundational-level course. It explains how to use tolerance stacks to analyze product designs and how to use geometric tolerances in stacks.

Using tolerance stacks ensures that parts fit together properly, reducing scrap and rework, thereby increasing value. This 2-day foundational-level course explains how to use tolerance stacks to analyze product designs and how to use geometric tolerances in stacks.

This 3-day advanced-level course teaches the advanced concepts of GD&T as prescribed in the ASME Y14.5M-1994 Standard. It can be conducted with flexible scheduling, including 5 mornings or 5 afternoons.   

This two-day foundational-level course teaches Advanced Concepts of GD&T as prescribed in the ASME Y14.5-2009 Standard. It offers an explanation of complex GD&T topics, such as the expanded use of composite position and profile tolerances, customized datum reference frames, the translation modifier, and applying GD&T to non-rigid parts. You’ll learn about functional dimensioning, form controls, the datum system, additional and complex datum feature types, expanded datum target concepts and usage on restrained parts, simultaneous, and separate requirements.

Led by our senior GD&T professionals with a wide variety of industry background and experience, this one-day GD&T Review and Application course is designed for organizations who have participated in training through SAE but are looking for further clarification on how to apply GD&T best practices to specific organizational drawings. Designed to assist your design teams with highly complex design analysis problems and to support your teams through real world drawing examples, the instructor will review, answer questions, and provide feedback on tolerance analysis and GD&T implementation.

This full-day course is designed to equip engineering professionals with the knowledge and tools needed to combine the strengths of Design Engineering and Systems Engineering into Systems Design Engineering (SDE) principles. These principles will improve engineering efficiency and practically design more sustainable system-level products, all while strategically aligning with digital transformation objectives.

Abstract The use of nanomaterials and nanostructures have been revolutionizing the advancements of science and technology in various engineering and medical fields. As an example, Carbon Nanotubes (CNTs) have been extensively used for the improvement of mechanical, thermal, electrical, magnetic, and deteriorative properties of traditional composite materials for applications in high-performance structures. The exceptional materials properties of CNTs (i.e., mechanical, magnetic, thermal, and electrical) have introduced them as promising candidates for reinforcement of traditional composites. Most structural configurations of CNTs provide superior material properties; however, their geometrical shapes can deliver different features and characteristics. As one of the unique geometrical configurations, helical CNTs have a great potential for improvement of mechanical, thermal, and electrical properties of polymeric resin composites.

Mass is one important suspicious object for breast cancer diagnosis in mammograms. Computer-aided detection (CAD) based on fully supervised deep learning achieves high performance for mass detection in mammograms. The lack of fine-grained expert labels becomes the bottleneck for the large-scale application of CAD to achieve detection in mammograms. Weakly supervised methods provide a solution to tackle the annotation problems, including in the application for mass detection. However, previous works face the problem of insufficient localization information, which affect the ability of mass detection. In this paper, we propose a multi-view enhancing mass detection network (MVMDNet) with dual view inputs that contains craniocaudal (CC) and mediolateral oblique (MLO) view of mammograms, where different view features are interacted and fused to enhance localization information.

Abstract The demand for contactless, rapid manufacturing has increased over the years, especially during the COVID-19 pandemic. Additive manufacturing (AM), a type of rapid manufacturing, is a computer-based system that precisely manufactures products. It proves to be a faster, cheaper, and more efficient production system when integrated with cloud-based manufacturing (CBM). Similarly, the need for semiconductors has grown exponentially over the last five years. Several companies could not keep up with the increasing demand for many reasons. One of the main reasons is the lack of a workforce due to the COVID-19 protocols. This article proposes a novel technique to manufacture semiconductor chips in a fast-paced manner. An algorithm is integrated with cloud, machine vision, sensors, and email access to monitor with live feedback and correct the manufacturing in case of an anomaly.

Abstract The hot corrosion studies for the die-casted magnesium (Mg) silver (Ag) alloys are carried out through the steam heating route. The Magnesium Silver (QE22A) alloy is fixed under the top lid of the pressure cooker (2 liters) and filled with water and 5% salt (NaCl) solution. The specimens are treated with different time intervals (10, 20, and 30 minutes), with the steam temperature maintained at 100°C around the specimen. The results showed an increase in the corrosion rate with the increase in the steaming time. Further, after the specimens have cooled down to room temperature, similar experiments are repeated for the second and third cycles. Here the formation of the oxide layers over the specimen has reduced the corrosion rate. The structural, surface study was carried out through scanning electron microscopy (SEM), X-ray diffraction (XRD), and energy-dispersive spectroscopy (EDS) to know the corrosion behavior on the specimen.

Finite Element Analysis (FEA) has been an indispensable tool for design simulation for several decades but this wide spread use has been limited to simple types of analyses. Relatively recently, more advanced analyses have given easy-to-use interfaces enabling design engineers to simulate problems formerly reserved for analysts. FEA Beyond Basics targets the FEA users who wish to explore those advanced analysis capabilities. It will demonstrate how to move past the ubiquitous linear structural analysis and solve structural nonlinear problems characterized by nonlinear material, large displacements, buckling or nonlinear connectors.

The “Integrated Wheelchair Bed” is an innovative assistive technology designed to address the unique needs of individuals with mobility challenges. This duality concept is born out of a deep understanding of the daily challenges faced by those who require mobility aids for transportation and also need to rest periodically throughout the day, allowing for seamless transitions between mobility and rest. This dichotomy promotes both physical well-being and emotional independence, enhancing the overall quality of life for users. The need for a new wheelchair bed hybrid arises from evolving user requirements, such as improved comfort, compactness, customization, safety, technology integration, cost-efficiency, durability, versatility, aesthetics, healthcare integration, and sustainability. To overcome these problems, we have proposed a wheelchair that can be transformed into a bed using a two-bar linkage with a slot lock mechanism.

This interactive eLearning GD&T training course now utilizes HTML5 for better browser and device compatibility. It contains 23 robust, self-paced learning modules that explain the terms, symbols, modifiers, rules, and basic concepts of geometric tolerancing as prescribed in the ASME Y14.5-2018 Standard. Progress is easily measured with instant feedback throughout each lesson that reinforces and aids in concept retention, allowing the learner to determine where further review may be needed. Full color detailed animations that help participants clearly visualize concepts, along with audio narration and 3D solid part examples.

This interactive eLearning GD&T training course now utilizes HTML5 for better browser and device compatibility. It contains 29 robust, self-paced learning modules that explain the terms, symbols, modifiers, rules, and basic concepts of geometric tolerancing as prescribed in the ASME Y14.5-2009 Standard. Progress is easily measured with instant feedback throughout each lesson that reinforces and aids in concept retention, allowing the learner to determine where further review may be needed. Full color detailed animations that help particpants clearly visualize concepts, along with audio narration and 3D solid part examples.

Additive manufacturing (AM), is a manufacturing process of choice for functional part production, adding to the suite of choices a designer has available when designing a part for manufacturing. Like other traditional processes like casting and machining, AM has its set of constraints. An added layer of complexity comes from the fact that there are several different AM processes, and some of the design constraints are process-specific. On the other hand, AM offers a range of opportunities in design freedom and mass customization as well as in cost and lead time reduction in some cases.

The Fundamentals of Geometric Dimensioning and Tolerancing 2018 Using Critical Thinking Skills by Alex Krulikowski reflects the technical content found in the latest release of the ASME Y14.5-2018 Standard. This book includes several key features that aid in the understanding of geometric tolerancing. Each of the textbook's 26 chapters focuses on a major topic that must be mastered to be fluent in the fundamentals of GD&T. Each topic includes a goal that is defined and supported by a set of performance objectives that include real-world examples, verification principles and methods, and chapter summaries. There are more than 260 performance objectives that describe specific, observable, measurable actions that the student must accomplish to demonstrate mastery of each goal. Learning is reinforced by completing three types of exercise problems, along with critical thinking questions that promote application of GD&T on the job.