Products & Equipment
IMT introduces new articulating crane models
January 24, 2018 By Iowa Mold Tooling Co. Inc.
Iowa Mold Tooling Co., Inc., an Oshkosh Corporation company, recently introduced four new articulating crane models and revisions to its current articulating crane lineup.
“After evaluating the market, we developed four new articulating crane models to meet the growing lifting demands of our customers,” said John Field, articulating crane product manager at IMT. “We also increased lifting capacity on current radio-remote articulating crane models to improve upon the high-performance and economical lifting solutions the IMT crane line offers.”
New models include the 610, 710, 810 and 910. The four new models will replace the 5/33, 6/39 and 7/48 articulating models in the IMT portfolio. The new articulating cranes offer versatile increased lifting capacities in the 40,000 ft.-lb. to 70,000 ft.-lb. range. The new models share the same features offered on all IMT articulating cranes, such as over-bending, which ensures the working area between the main boom and the jib is no less than 195°.
Also available on the new cranes is the Electronic Vehicle Stability (EVS) system. Implemented to prioritize operator safety, EVS monitors the crane stability and warns the operator when the tilt of the truck’s chassis approaches a pre-set angle. The EVS system integrates with the Rated Capacity Limiter (RCL), a key safety component that monitors the crane’s load moment, operation and function. Together, the EVS and the RCL create an integrated system that ensures truck stability, so the crane can be used at available capacity in any vehicle setup — without jeopardizing safety. Additional new features include internal hose routing, the “j” stow hook and improved lift to weight ratio on all models.
“Between the increased lifting capabilities and the EVS and RCL, customers can maximize their productivity without worrying about safety — the system monitors what is happening for them,” said Field. “These new models will significantly impact the productivity capabilities of operators.”
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