상품이미지
  •  상품이미지

MPN : WFM180-120P321

Sick Fork Sensor Photoelectric Sensor, 180 mm Detection Range
  • 브랜드

    Sick

  • 무원상품코드

    M011242006746

  • 타입별
    EA
  • 주문가능수량

    5

  • 최소주문수량1
  • 판매단위1
  • 제품정보
  • 배송정보
    (영업일 기준)
  • 특이사항
구매수량 :

*대량구매해택
  • 수량단가1 : 1개 ~ 530,455원


총금액
(VAT 별도)
  • 상품정보
  • 상품후기
  • 상품문의
  • 배송/AS안내

■ 제품필수정보

제조사 Sick
제조사품명 WFM180-120P321
간략설명 Sick Fork Sensor Photoelectric Sensor, 180 mm Detection Range

■ 제품사양

Detection
타입 = Fork Sensor Detection Range = 180 mm Output
타입 = Dark Switching, PNP Electrical Connection = M8 Connector Maximum DC Voltage = 30V Terminal
타입 = 3 Pin Connector IP Rating = IP67 Maximum Current = 100 mA Response Time = 0.000125 seconds
최소 작동 온도 = -10°C OverviewAt a glanceClearly visible red emitted light No setup required: The sensor is ready for operation immediately Receive indicator, visible all-round 5 fork sizes with a maximum depth of 120 mm and a maximum width of 180 mm Stable aluminum housing with IP 67 enclosure ratingYour BenefitFixed parameters guarantee a high level of operational safety with extremely simple commissioning A visible red light enables easy alignment of the WFM The all-round visible receive indicator enables constant process control A wide range of different fork sizes increases installation flexibility Stable aluminum housing for use in harsh industrial environmentsThe WFM fork sensors are extremely quick and easy to mount and commission thanks to plug and play. Their yellow receive indicator can be seen all the way round, providing optimum feedback on the switching behavior of the WFM. Since the sender and receiver are integrated within the same housing, there is no need for any complex alignment work, allowing detection tasks to be prepared and completed quickly and easily. WFM have a rugged aluminum housing and are available in five different designs with fork widths ranging from 30 mm to 180 mm and fork depths of between 40 mm and 120 mm. SICKs fork sensors are suited to numerous applications, such as detecting parts in production processes, checking whether various objects are present, or intralogistic processes.ApplicationsDetecting objects in production processes Monitoring the presence of different objects Level monitoring for the step conveyor Detection on the rotary magazine table Shoe sorter pin monitoringNote

순번
분류
제목
작성자
날짜
데이터 없음 ...
순번
답변 상태
제목
작성자
날짜
1
신청 접수
2024-11-01
2
신청 접수
2024-10-31
3
답변 완료
2024-10-24
4
신청 접수
2024-10-21
5
신청 접수
2024-05-27
7
답변 완료
2024-05-13
8
답변 완료
2024-04-16
9
답변 완료
2023-12-08
10
답변 완료
2023-11-21
상품정보이미지