Browse Topic: Manufacturing equipment and machinery

Items (253)
To avoid equipment failures in automotive manufacturing activities, particular attention is paid to the design of an effective preventive maintenance strategy model for automotive component processing equipment. The selection of appropriate maintenance intervals as well as the equilibrium between the benefits and costs should be the primary challenges in high-quality maintenance process. In this study, a reliable preventive maintenance strategy model is proposed and the aim is to suggest an appropriated approach for the selection of maintenance intervals from a comprehensive view of importance, hazard, and maintenance cost. First and foremost, a new Fermatean fuzzy entropy (FFE) measure method on the basis of analytic hierarchy process (AHP) is innovatively employed to access more objective weights of each indicator. Moreover, a more objective scoring of importance and hazard indicator is executed to aggregate the expert group judgments. Furthermore, this study emphasizes the
Ma, ZexinPan, ZheshengWang, ChengxiangWei, MingxinYu, WenbinLi, GuoxiangZhao, FeiyangZhu, Sipeng
In the 1990s and early 2000s, the field of parallel kinematics was viewed as being potentially transformational in manufacturing, having multiple potential advantages over conventional serial machine tools and robots. Many prototypes were developed, and some reached commercial production and implementation in areas such as hard material machining and particularly in aerospace manufacturing and assembly. There is some activity limited to niche and specialist applications; however, the technology never quite achieved the market penetration and success envisaged. Yet, many of the inherent advantages still exist in terms of stiffness, force capability, and flexibility when compared to more conventional machine structures. This chapter will attempt to identify why parallel kinematic machines (PKMs) have not lived up to the original excitement and market interest and what needs to be done to rekindle that interest. In support of this, a number of key questions and issues have been identified
Muelaner, JodyWebb, Philip
Vacuum suction cups are used as transforming handles in stamping lines, which are essential in developing automation and mechanization. However, the vacuum suction cup will crack due to fatigue or long-term operation or installation angle, which directly affects production productivity and safety. The better design will help increase the cups' service life. If the location of stress concentration can be predicted, this can prevent the occurrence of cracks in advance and effectively increase the service life. However, the traditional strain measurement technology cannot meet the requirements of tracking large-field stains and precise point tracking simultaneously in the same area, especially for stacking or narrow parts of the suction cups. The application must allow multiple measurements of hidden component strain information in different fields of view, which would add cost. In this study, a unique multi-camera three-dimensional digital image correlation (3D-DIC) system was designed
Guo, BichengZheng, XiaowanFang, SiyuanYang, Lianxiang
One of the imaging technologies that many robotics companies are integrating into their sensor packages is Light Detection and Ranging (LiDAR). Now Duke engineers have developed a new LiDAR system that can potentially improve the vision of autonomous systems such as driverless cars and robotic manufacturing plants
This standard has notes/guidance narratives interspersed throughout. These notes/guidance narratives are identified by a header and by text in italics. This standard defines a series of requirements that results in a specific AM machine qualified to produce material (see GN1) in compliance to an aerospace materials specification. The machine control and/or configuration types are discussed in the next sections. The industry (including AIA and ASTM) generally acknowledges that there are three qualification milestones for AM machines; nevertheless, this document will focus only on the initial two stages, namely: Installation Qualification (IQ): Producing objective evidence to show that all key aspects of the process equipment and ancillary system installation adhere to the AM Part Producer’s specification and that the recommendations of the supplier of the equipment are suitably considered; this is tied to a specific machine serial number. Operational Qualification (OQ): Establishing
AMS AM Additive Manufacturing Metals
Contrary to popular opinion, Henry Ford didn’t invent the automotive assembly line. That was Ransom Olds of Oldsmobile fame, who reportedly patented his novel manufacturing approach in 1901. Twelve years later, Ford simply took Olds’ good idea and made it better. Much better, it seems. Rather than using a stationary line like Oldsmobile, the Ford Motor Company founder added a moving conveyor, thereby reducing worker fatigue while drastically increasing production throughput. The concept stuck, and more than a century later, the moving assembly line remains an integral piece of most automobile manufacturing
Any manufacturing facility that uses hydraulics powered by conventional fixed-speed hydraulic power units (HPUs) has engineers and personnel who know all too well how large, noisy, and inefficient older HPUs can be. In the past, such features were simply an accepted part of the manufacturing environment. But now, advances in engineering and design have led to new variable-speed power units that are smaller, quieter, and more efficient, intended for use in a wide variety of applications, and can directly replace traditional hydraulic systems
Researchers have developed a robot that uses radio waves, which can pass through walls, to sense occluded objects. The robot, called RF-Grasp, combines this powerful sensing with more traditional computer vision to locate and grasp items that might otherwise be blocked from view. The advance could one day streamline warehouse operations or help a machine pluck a screwdriver from a jumbled toolkit
As Industry 4.0 evolves, the use of more sophisticated robots, as well as advanced automation and control systems within industrial applications has become more common as companies continue their pursuit to increase efficiency and profitability
The field of parallel kinematics was viewed as being potentially transformational in manufacturing, having multiple potential advantages over conventional serial machine tools and robots. However, the technology never quite achieved market penetration or broad success envisaged. Yet, many of the inherent advantages still exist in terms of stiffness, force capability, and flexibility when compared to more conventional machine structures. Deployment of Parallel Kinematic Machines in Manufacturing examines why parallel kinematic machines have not lived up to original excitement and market interest and what needs to be done to rekindle that interest. A number of key questions and issues need to be explored to advance the technology further. Click here to access the full SAE EDGETM Research Report portfolio
Webb, Philip
This SAE Standard establishes the minimum performance requirements for pelvic restraint systems (seat belts, anchorages, and the fastening elements of seat belts) necessary to restrain an operator or rider within a roll-over protective structure (ROPS) in the event of a machine roll-over, as defined in ISO 3471, ISO 8082-1, ISO 8082-2, ISO 12117-2, and ISO 13459, or tip-over protection structure (TOPS), in the event of a machine tip over as defined in ISO 12117. This standard provides guidance and recommendations for information included in the machine operator manual
HFTC4, Operator Seating and Ride
Manufacturing workpieces with unique material characteristics can provide machining challenges. The metal beryllium is an excellent example. Beryllium is two-thirds the weight of aluminum and six times as stiff as steel. It has a high melting point and a very low range of thermal expansion. Those attributes deliver performance that is crucial in precision applications such as aircraft components, spacecraft, communication satellites and optics. However, beryllium is also hard and brittle and produces powder instead of chips when machined, therefore requiring special machining techniques to avoid cracking. It is also expensive, about $1,500 a pound. And finally, it is toxic and causes severe allergic reactions in those sensitive to it. As such, only a few shops in the United States are the lone providers of parts made from this tricky material. One of those is a California shop that combines a deliberate, highly structured production process; data-driven manufacturing analytics; precise
There’s no doubt that Industrial Ethernet (IE) is paving the way for the automated factory of the future. IE is the backbone of modern industrial communications between devices on the plant floor, the enterprise information network, and the cloud services that companies increasingly rely upon to build and grow their business. At the macro level, IE is as essential to automation control as the internet is to e-commerce
This specification prescribes process requirements for batch processing of used, metal powder originating from an existing additive manufacturing process workflow for reuse in subsequent additive manufacturing of aerospace parts in non-closed loop additive manufacturing machines. Such powders may be pre-alloyed or commercially pure. This specification is not limited to a specific additive manufacturing process workflow as the originating source of material to be reused. It is intended to define those procedures and requirements necessary to achieve required cleanliness and performance of metal powder feedstock to be reintroduced into the same additive manufacturing process from which such powder originated. This specification is intended to be used in conjunction with relevant AMS powder specifications and AMS process specifications for additive manufacturing. Unless otherwise specified, powder prepared for reuse following this specification is intended to be conforming in physical and
AMS AM Additive Manufacturing Metals
Industries are currently going through “The Fourth Industrial Revolution,” as professionals have called it “Industry 4.0” (I4.0). Integration of physical and digital systems for the product life cycle mainly concerns Industry 4.0. With the appearance of I4.0, the concept of prediction management has become an unavoidable tendency in the framework of big data and smart manufacturing. At the same time, it offers a reliable solution for handling test fatigue failures. AI and its key technologies play an essential role - 1 to make industrial systems autonomous like predicting test failures 2 to make possible the automatized data collection from industrial machines/components. Based on these collected data types, machine learning algorithms can be applied for automated failure detection and diagnosis. However, it is a bit difficult to select appropriate machine learning (ML) techniques, type of data, data size, and equipment to apply ML in industrial systems. Selection of inappropriate
A robotic system called RFusion is a robotic arm with a camera and radio frequency (RF) antenna attached to its gripper. It fuses signals from the antenna with visual input from the camera to locate and retrieve an item, even if the item is buried under a pile and completely out of view. The RFusion prototype relies on RFID tags, which are cheap, battery-less tags that can be stuck to an item and reflect signals sent by an antenna. Because RF signals can travel through most surfaces, RFusion is able to locate a tagged item within a pile
Industrial programmable logic controllers (PLCs) and their associated operations technology (OT) software and communication protocols have traditionally been best suited for localized installations. They lacked the computing performance, connectivity options, and security needed to easily integrate them with higher-level information technology (IT) resources
In 1901, a patent was issued to Ransom E. Olds for the idea of a continuously moving assembly line, which he used to build the first Oldsmobile vehicles. In 1913, Henry Ford improved the concept by adding moving conveyor belts and with these two innovations, the time needed to assemble a car went from 1½ days to 1½ hours. The modern assembly factory was born
There are some tasks that traditional robots — the rigid and metallic kind — cannot perform. Soft-bodied robots may be able to interact with people more safely or slip into tight spaces with ease. But for robots to reliably complete their programmed duties, they need to know the whereabouts of all their body parts. That’s a difficult task for a soft robot that can deform in an infinite number of ways
This SAE Recommended Practice establishes minimum performance and test requirements for combination pelvic and upper torso occupant restraint systems provided for off-road self-propelled work machines
HFTC4, Operator Seating and Ride
A new algorithm significantly speeds up the planning process required for a robot to adjust its grasp on an object by pushing that object against a stationary surface. Whereas traditional algorithms would require tens of minutes for planning out a sequence of motions, the new approach shaves this preplanning process down to less than a second. This faster planning process will enable robots, particularly in industrial settings, to quickly figure out how to push against, slide along, or otherwise use features in their environments to reposition objects in their grasp. Such nimble manipulation is useful for any tasks that involve picking and sorting, and even intricate tool use
Capacity planning is one of the major factors in saving capital and avoiding unnecessary costs in any manufacturing system particularly large original equipment manufacturers (OEMs). However, many manufacturing systems still suffer from huge costs incurred due to a lack of applying a robust capacity planning optimization model. Most of the developed models in literature do not consider real-life situations in manufacturing systems and, hence, are not easy to implement. In this paper, a novel capacity planning optimization model considers various important features of a manufacturing system. The objective function of the model is to minimize the weighted sum of the total number of assets and changeovers. A unique feature of the developed model is the capability of providing the number of additional required assets of each type in case the existing assets are not capable of covering the entire demand. The other unique feature is providing the utilization percentage of each asset and
Navaei, JavadMaxwell, BryanHassan, NazmulKalamdani, RajeevAustin, Rosaleen
You may not be able to see them but power anomalies that originate within your automated control system are costing you expensive downtime. Your automated production equipment has a low tolerance for poor power quality, especially if it is controlled by a PLC(s
Lithium-metal batteries, capable of doubling the capacity of today’s standard lithium-ion cells, can be built utilizing much of the current Li-ion battery manufacturing process, according to researchers at the University of Michigan. Their findings, part of a project supported by the U.S. Department of Energy, remove a major hurdle for automakers looking to embrace the next major evolution in energy storage technology for electric vehicles (EVs
Linear motion components such as bearings, shafts, actuators, and slides are heavily utilized in many types of industrial machines, so the more that engineers can streamline component design, configuration, and ordering, the more they can lower their production costs
A novel Spatially Optimized Diffusion Alloy (SODA) material has been developed and applied to exhaust systems, which are an aggressive environment subject to high temperatures and loads, as well as excessive corrosion. Traditional stainless steels disperse chromium homogeneously throughout the material, with varying amounts ranging from 10% to 20% dependent upon its grade (e.g. 409, 436, 439, 441, and 304). SODA steels, however, offer layered concentrations of chromium, enabling an increased amount along the outer surface for much needed corrosion resistance and aesthetics. This outer layer, typically about 70μm thick, exceeds 20% of chromium concentration locally, but is less than 3% in bulk, offering selective placement of the chromium to minimize its overall usage. Since this layer is metallurgically bonded, it cannot delaminate or separate from its core, enabling durable protection throughout manufacturing processes and full useful life. The core material may be comprised of
Kotrba, AdamQuan, TonyWei, WinstonDetweiler, ZacharyKeifer, DavidBullard, Daniel
As vacuum suction cups are widely used in stamping plants, it becomes urgent and important to understand their performance and failure mode. Vacuum suction cups are employed to lift, move, and place sheet metal instead of human hands. Occasionally the vacuum cups would fail and drop parts, even it would cause expensive delays in the production line. In this research, several types of vacuum cups have been studies and compared experimentally. A new tensile device and test method was developed to measure the pulling force and deformation of vacuum cups. The digital image correlation technique has been adopted to capture and analyze the contour, deformation and strain of the cups under different working conditions. The experimental results revealed that the relevant influential parameters include cup type, pulling force angles, vacuum levels, sheet metal curvatures, etc. Also, the deformation distribution and history of the cups denote the weak part and failure mechanism during operation
Xu, WanZhang, BoyangWang, RongMa, WenGuo, BichengYang, Lianxiang
Machine and system designers now have greater options in choosing a motor to meet motion control requirements. While basic step motors with open-loop control schemes abound in the marketplace, different motor and drive designs offer interesting solutions for smarter, faster, quieter operations with more torque. Some incorporate smart drives for higher-level streaming commands or onboard motion control, while others add encoders for greater torque and accuracy. These options can offer better solutions as applications become more sophisticated and demanding, while companies address initiatives for greener operations. This article outlines different step motor options available on the market and considerations for their use
Off-highway industrial machines require multi-function implement operation with dynamic duty cycles. In many cases, machine implements demand short bursts of full engine power and brake dynamic loads requiring 50% or more of energy consumed. Many next-generation machines reduce energy loss and improve productivity by incorporating hybrid-electric approaches with energy storage. An efficient implement solution enabling the hybrid-electric approach is essential to achieve maximum improvement potential. At the upcoming IFPE 2020 show in Las Vegas (www.ifpe.com), education sessions offered to attendees will address this challenge and other issues facing the fluid power and motion control industries. A session titled “Fundamentals of Hydraulic Systems” will include speakers from Ultra Clean Technologies Corp., Atos North America, Parker Hannifin, and Hallite Seals Americas. Show organizer AEM (Association of Equipment Manufacturers) spoke with presenter Dale Vanderlaan, R&D engineering
This SAE Standard establishes a common specification and ordering code for hydraulic filter assemblies and hydraulic filter elements, and establishes minimum performance criteria and test methods. This document establishes two filter diameter sizes, five basic micron ratings, and two basic collapse ratings. These classifications will satisfy most hydraulic filter applications, and thereby can minimize inventory requirements for hydraulic filter elements
Motor Vehicle Council
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