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- A typical means of locating the part when using
- The principle of elastic deformation of an integrated shell
- Instead of sending out a dedicated fleet of mapping cars today
- Because all drivers have their own style and habits

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 A typical means of locating the part when using Alerter l'administrateur Recommander à un ami Lien de l'article 

Dovetailed PartDovetail Custom Workholding are also a very popular means of clamping a workpiece for machining. In this method of fixturing, dovetailed angles are cut into the bottom side of the part with a special dovetail cutter. The fixture body has a matching set of angled dovetail clamping jaws that will accept the workpiece, and the clamping force is applied by means of a socket head cap screw to secure the part.

Not only is this a very effective means of holding the workpiece securely, but it also helps keep the part seated in the fixture during the machining process - and the downward force created between the mating angles of the dovetailed jaws and the workpiece prove to keep the part seated firmly in the fixture without the threat of the part lifting during cutting.

A typical means of locating the part when using a dovetail type fixture is to cut a small slot or notch in the bottom face of the part that will match up with a dowel pin permanently mounted in the top of the fixture itself. This pin is usually located in the flat area between the two jaws of the device. The dovetail jaws will act as locators for the part in one direction, and the pin will act to locate the part in the other axis direction.

Multi-part fixtureA common myth surrounding 5-axis machining is the belief that you can only fixture one part at a time. Although this is how most people envision multi-sided workholding, it is, in fact, very possible to fixture more than one part at a time with some ingenuity and proper planning. There are a number of companies who offer professionally manufactured devices for this purpose.

Also, with a little bit of creativity, and with the help of some modern fixture clamping hardware, it is feasible to design and build your own DIY fixturing to achieve your goal.IDI’s P-Series air-driven hydraulic pumps provide convenient, on-the-go hydraulic power without the need of external electrics or plumbing. Pair the P-Series pumps with a workholding solution, such as a swing clamp, and you have a portable, powerful, high psi solution to your mobile workholding needs.

  Aucun commentaire | Ecrire un nouveau commentaire Posté le 19-05-2017 à 08h37

 The principle of elastic deformation of an integrated shell Alerter l'administrateur Recommander à un ami Lien de l'article 

Machining Workholding brings reliable, accurate and repeatable work-holding results to ----the aerospace and defense, medical, vehicle and gear industries – and we’ve done so since 1947. With over 80 patents globally, we remain committed to providing innovative work-holding solutions to today’s dynamic marketplace, whether standard or custom parts are in order.

Founded just north of Detroit, Michigan, Hydra-Lock products are not only made in the USA, they are completely repairable and recyclable. We are also equipped to repair “Non-Hydra-Lock” arbors and chucks.

Kuroda Jena Tec can design customised hydraulically actuated workholding systems for precision machine tool and end users involved in production of high precision components. With extensive experience of tooling, work holding and clamping experience, Kuroda Jena Tec work piece clamping systems are in active use for a wide variety of processes including grinding, turning, hobbing, balancing and specialised production processes.

The principle of elastic deformation of an integrated shell offers less than 3μm of clamping repeatability with high torque transmission during load bearing machining operations. The principle of clamping allows an extended tool life and low maintenance operation with resistance to ingress of dirt for a highly cost effective investment.Even with the wildcard of the US Presidential election still undecided on Halloween, Forbes Magazine published an article forecasting a positive 2017 for US manufacturers. The article cited a few good signs, including growth in wages, retail sales, and the PMI (Purchasing Manager’s Index).

Forbes is not the only source of optimism for manufacturing forecasts. The National Association of Manufacturers (NAM) published its October report on October 13th, and indications are that despite concerns about Brexit, which are significant, US manufacturing continues to grow, albeit slowly.The real missing piece of the puzzle in these forecasts, of course, was who was going to be elected the next President of the United States. Manufacturers always hold their collective breaths during Presidential election years, and this contentious election was certainly no exception.

  Aucun commentaire | Ecrire un nouveau commentaire Posté le 19-05-2017 à 08h25

 Instead of sending out a dedicated fleet of mapping cars today Alerter l'administrateur Recommander à un ami Lien de l'article 

As connected cars get smarter and are able to see and understand traffic and road conditions, massive numbers of intelligent sensing vehicles will be able to provide real-time road condition updates on their own — generating rich, high quality maps. This will be key for autonomous driving, as driverless systems will require high-definition maps that are much more precise, frequently updated and richer than what we have today.

Instead of sending out a dedicated fleet of mapping cars today, vehicles can use an array of sensors, cameras, high-precision positioning and on-device machine learning to create the most accurate and detailed maps. Connected cars will then become live sensors that can deliver alerts about hazardous conditions as well as detect traffic warnings, lane markers, cracks or potholes in the road, and construction zones — building a detailed map of the road that’s updated in real time. The cars can even highlight improvement areas in infrastructure such as a particularly dangerous intersection or an area prone to accidents.

The key to building a safer car is understanding drivers’ behavior — how they react to varied road and driving conditions, for instance. This information is vital for everyone from fleet management and shared mobility companies to insurance firms and makers of autonomous cars.

For example, cameras will be able to capture if a driver is tailgating or seems distracted, and this data would then be passed through the network, or to other vehicles on the road via V2X, to caution those in the vicinity. In addition, shared mobility companies can see improved driver safety, lower costs and minimized risk exposure by getting a comprehensive view of their fleets’ driving behaviors. This information, in turn, would allow for more thorough risk assessment.

Automatic Production Line and understanding the minds of drivers is also becoming increasingly important when it comes to autonomous driving. One of the best examples of this is what’s called the “yield problem.” Today, autonomous car prototypes might wait for long intervals at intersections before finally making a left turn on yield. Monitoring and observing how human drivers handle such situations will be very important. Future autonomous cars would benefit from the learnings provided by the human driver data and personalize it for individual car owners too.

  Aucun commentaire | Ecrire un nouveau commentaire Posté le 18-05-2017 à 07h49

 Because all drivers have their own style and habits Alerter l'administrateur Recommander à un ami Lien de l'article 

Machining Fixtures can be used in either “Companion” or “Challenge” mode. In each, the system provides feedback to the driver about his or her driving style. When the driver embarks on a journey that he or she has previously completed, My Driving Partner’s algorithm is able to predict situations to warn of potential risks. In Challenge mode, the system rewards the ‘best’ driver with points for their overall driving style and the smooth handling of various situations and provides a total at the end of the trip.

Because all drivers have their own style and habits, the collected information becomes part of the cloud-based driver’s profile. This feature is of particular interest when the same vehicle may be used by a number of different drivers such as company fleets, rental cars or vehicles shared among family members or when buying a new vehicle.

Accidents occur more frequently during familiar journeys that are made several times a day or week. In France, for example, more than half of all accidents resulting in bodily injury happen on journeys of a distance of less than 20 kilometers. By learning a driver’s habits and storing dangerous spots along the user’s most frequently used routes, My Driving Partner can warn the driver of a risky situation and provide advice as he or she approaches the potential hazard.

Ultimately, this technology could suggest an alternate safer route. The recorded driving data can be viewed online, a feature that can assist with managing the driving behaviors of groups. For instance, fleet managers can spot their best drivers and identify opportunities for others to improve their driving habits.Road driving is now recognised as one of the key risks for the rail industry, however we still need to understand it better, and to do that, we need far better data and intelligence.

For some of you it might seem a bit odd to be reading about road risk on a rail industry website. After all, less than five years ago workforce road driving didn't get a single mention on here! Yet now we have a dedicated area on the site, a cross-industry group, a programme, and a key risk commitment in the health and safety strategy from the rail industry to tackle road driving risk. How did we get here?

  Aucun commentaire | Ecrire un nouveau commentaire Posté le 18-05-2017 à 07h42

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  Blog créé le 11-05-2017 à 06h02 | Mis à jour le 19-05-2017 à 08h37 | Note : Pas de note