Thursday 14 November 2019

Welding process


Choosing the right machine is just as important as a technique in welding. The type of welding you purchase should be suited to the specific functions you need it for because there is no such thing as a “one size fits all” welding machine. Weighing the pros and cons of the different welding processes and the projects you are most likely going to use your welder for, is essential to making your selection. People think that there is no single welding process suitable for all welding situations. What’s important is understanding which process is best suited to your application. The most common welding processes include:

 Metal Inert Gas (MIG),
 Tungsten Inert Gas (TIG),
 Flux-Cored Arc Welding ((FCAW),
 Manual Metal Arc Welding (MMAW) often referred to as ‘Stick’ welding;

Each of which has its own set of benefits and limitations. As such there are several factors that
must be considered to determine which welding machine will be the most appropriate for your needs. These include:

 Type of material being welded
 Thickness of material
 Required weld metallurgy
 Welding position
 Available power supply, for example, single-phase or three-phase
 Amount of available current
 Time requirements

Arc welding is a specialized type of welding that uses electricity to join two metal components and
includes sub-types such as gas metal arc welding and plasma arc welding. The reason for its growing popularity is the rising awareness regarding its inherent advantages. For example, due to high heat concentration, arc welding speeds up the welding process, saving both time and energy. This also leads to fewer distortions in the finished product. Furthermore, this type of welding does not entail any extra costs and does not swell the cost of production. Lastly, arc welding has a higher safety quotient as it produces less smoke, which is usually hazardous to human health. Thus, these advantages of this welding process will augur well for the market and its development during the forecast period.

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